# LicenseTheData.com — factual research snapshot Compare where to sell or license your business data. Scope: businesses with operating records, not worker jobs or consumer personal-data sales. Claims are public provider descriptions, not guaranteed offers or audited seller receipts. Unknowns are not free fees, acceptance or unrestricted rights. Inspected 2026-10-13. # micro1 https://licensethedata.com/buyers/micro1/ Evidence inspected 2026-10-13. Direct licensing. Entity: micro1, Inc.. ## Operating records SOPs, knowledge bases, CRM, projects, QA and internal processes Status: published. Public source description, not a verified seller-specific contract. Source: https://www.micro1.ai/data-partnerships Source: https://www.micro1.ai/privacy-policy Source: https://www.micro1.ai/blog/micro1-commits-1b-to-enterprise-data-acquisition ## Company eligibility 30+ employees; established documentation; English documents and representatives. Status: published. Public source description, not a verified seller-specific contract. Source: https://www.micro1.ai/data-partnerships Source: https://www.micro1.ai/privacy-policy Source: https://www.micro1.ai/blog/micro1-commits-1b-to-enterprise-data-acquisition ## Seller geography US prioritized, then Western markets; strongest current demand US/UK/Canada. Global referrals do not mean global acceptance. Status: published. Public source description, not a verified seller-specific contract. Source: https://www.micro1.ai/data-partnerships Source: https://www.micro1.ai/privacy-policy Source: https://www.micro1.ai/blog/micro1-commits-1b-to-enterprise-data-acquisition ## Published compensation $100k+, $500k+, $1M+ advertised partnership tiers. USD context; period unspecified; individually evaluated, not guaranteed. Status: advertised. Public source description, not a verified seller-specific contract. Source: https://www.micro1.ai/data-partnerships Source: https://www.micro1.ai/privacy-policy Source: https://www.micro1.ai/blog/micro1-commits-1b-to-enterprise-data-acquisition ## Fees & net proceeds Not published / not established Status: unknown. Not established in inspected sources. Ask for the actual agreement; unknown does not mean free, unrestricted or accepted. ## Timeline & payment trigger Not published / not established Status: unknown. Not established in inspected sources: No quantified payment timeline published. Ask the provider; missing terms do not establish acceptance, free fees or a payment deadline. Inspection URLs remain in the profile source list. ## Preparation & seller effort Evaluation → discovery → agreed requirements → partnership. Status: published. Public source description, not a verified seller-specific contract. Source: https://www.micro1.ai/data-partnerships Source: https://www.micro1.ai/privacy-policy Source: https://www.micro1.ai/blog/micro1-commits-1b-to-enterprise-data-acquisition ## Ownership & permitted use Retains underlying ownership; approvals and scope agreed before participation. Status: published. Public source description, not a verified seller-specific contract. Source: https://www.micro1.ai/data-partnerships Source: https://www.micro1.ai/privacy-policy Source: https://www.micro1.ai/blog/micro1-commits-1b-to-enterprise-data-acquisition ## Privacy & approval PII removed when relevant; samples reviewable; isolated processing and authorized access. Status: advertised. Public source description, not a verified seller-specific contract. Source: https://www.micro1.ai/data-partnerships Source: https://www.micro1.ai/privacy-policy Source: https://www.micro1.ai/blog/micro1-commits-1b-to-enterprise-data-acquisition ## Exclusivity Not published / not established Status: unknown. Not established in inspected sources. Ask for the actual agreement; unknown does not mean free, unrestricted or accepted. ## Retention & deletion Retention/deletion follow agreed terms; no public exact duration. Status: published. Public source description, not a verified seller-specific contract. Source: https://www.micro1.ai/data-partnerships Source: https://www.micro1.ai/privacy-policy Source: https://www.micro1.ai/blog/micro1-commits-1b-to-enterprise-data-acquisition ## HQ / published contact Published privacy contact: San Francisco, US; operational HQ not independently established. Status: published. Public source description, not a verified seller-specific contract. Source: https://www.micro1.ai/data-partnerships Source: https://www.micro1.ai/privacy-policy Source: https://www.micro1.ai/blog/micro1-commits-1b-to-enterprise-data-acquisition ## Seller evidence No independently audited operating-business payout established in this research. Provider cases and partnership confirmations do not establish a typical seller outcome. ## Sources - Program evidence: https://www.micro1.ai/data-partnerships (inspected 2026-10-13) - Supporting evidence: https://www.micro1.ai/privacy-policy (inspected 2026-10-13) - Supporting evidence: https://www.micro1.ai/blog/micro1-commits-1b-to-enterprise-data-acquisition (inspected 2026-10-13) --- # Mercor https://licensethedata.com/buyers/mercor/ Evidence inspected 2026-10-13. Direct licensing. Entity: Mercor.io Corporation. ## Operating records Slack, Gmail, Salesforce, GitHub, Notion, contracts, clinical notes and QA logs Status: published. Public source description, not a verified seller-specific contract. Source: https://www.mercor.com/data Source: https://www.mercor.com/privacy-notice ## Company eligibility Not published / not established Status: unknown. Not established in inspected sources: No numerical employee minimum published on inspected data page. Ask the provider; missing terms do not establish acceptance, free fees or a payment deadline. Inspection URLs remain in the profile source list. ## Seller geography Not published / not established Status: unknown. Not established in inspected sources. Ask for the actual agreement; unknown does not mean free, unrestricted or accepted. ## Published compensation Individually quoted; no public dollar rate card. Status: advertised. Public source description, not a verified seller-specific contract. Source: https://www.mercor.com/data Source: https://www.mercor.com/privacy-notice ## Fees & net proceeds No upfront/setup fees or deductions; provider covers extraction, anonymization and transfer. Status: published. Public source description, not a verified seller-specific contract. Source: https://www.mercor.com/data Source: https://www.mercor.com/privacy-notice ## Timeline & payment trigger Wire upon delivery of anonymized dataset to buyer; typically 2–4 weeks from signed agreement. Status: advertised. Public source description, not a verified seller-specific contract. Source: https://www.mercor.com/data Source: https://www.mercor.com/privacy-notice ## Preparation & seller effort Scope → connect 100+ supported tools → extraction/de-identification → delivery/payment. Status: published. Public source description, not a verified seller-specific contract. Source: https://www.mercor.com/data Source: https://www.mercor.com/privacy-notice ## Ownership & permitted use Not published / not established Status: unknown. Not established in inspected sources. Ask for the actual agreement; unknown does not mean free, unrestricted or accepted. ## Privacy & approval No data leaves until approval; encryption, access logs, session-isolated credentials; SOC 2 Type II claimed, audit not inspected. Status: advertised. Public source description, not a verified seller-specific contract. Source: https://www.mercor.com/data Source: https://www.mercor.com/privacy-notice ## Exclusivity Not published / not established Status: unknown. Not established in inspected sources. Ask for the actual agreement; unknown does not mean free, unrestricted or accepted. ## Retention & deletion Not published / not established Status: unknown. Not established in inspected sources. Ask for the actual agreement; unknown does not mean free, unrestricted or accepted. ## HQ / published contact San Francisco, CA named in program footer; US. Status: published. Public source description, not a verified seller-specific contract. Source: https://www.mercor.com/data Source: https://www.mercor.com/privacy-notice ## Seller evidence No independently audited operating-business payout established in this research. Provider cases and partnership confirmations do not establish a typical seller outcome. ## Sources - Program evidence: https://www.mercor.com/data (inspected 2026-10-13) - Supporting evidence: https://www.mercor.com/privacy-notice (inspected 2026-10-13) --- # Troveo https://licensethedata.com/buyers/troveo/ Evidence inspected 2026-10-13. Managed intermediary. Entity: Troveo AI, Inc.. ## Operating records Full chat/email threads, versioned docs, CRM histories, tickets, finance, HR, warehouses and code Status: published. Public source description, not a verified seller-specific contract. Source: https://www.troveo.ai/business-data Source: https://www.troveo.ai/resources/how-long-to-license-company-data Source: https://www.troveo.ai/legal/privacy-policy ## Company eligibility Not published / not established Status: unknown. Not established in inspected sources: No published minimum. Calculator options are not eligibility thresholds. Ask the provider; missing terms do not establish acceptance, free fees or a payment deadline. Inspection URLs remain in the profile source list. ## Seller geography Not published / not established Status: unknown. Not established in inspected sources. Ask for the actual agreement; unknown does not mean free, unrestricted or accepted. ## Published compensation Typical full-company deals start at six figures, according to FAQ; share of every sale, including subsequent products. Percentage not verified. Status: advertised. Public source description, not a verified seller-specific contract. Source: https://www.troveo.ai/business-data Source: https://www.troveo.ai/resources/how-long-to-license-company-data Source: https://www.troveo.ai/legal/privacy-policy ## Fees & net proceeds FAQ says no fees, setup costs or deductions; exact revenue-share percentage not verified. Status: published. Public source description, not a verified seller-specific contract. Source: https://www.troveo.ai/business-data Source: https://www.troveo.ai/resources/how-long-to-license-company-data Source: https://www.troveo.ai/legal/privacy-policy ## Timeline & payment trigger Under a month from signed deal to first payout for in-demand datasets only; pre-signing diligence unquantified. Status: advertised. Public source description, not a verified seller-specific contract. Source: https://www.troveo.ai/business-data Source: https://www.troveo.ai/resources/how-long-to-license-company-data Source: https://www.troveo.ai/legal/privacy-policy ## Preparation & seller effort Scope → agreement → guided exports (no OAuth or integrations) → anonymization/manifest → buyer match → sale. Status: published. Public source description, not a verified seller-specific contract. Source: https://www.troveo.ai/business-data Source: https://www.troveo.ai/resources/how-long-to-license-company-data Source: https://www.troveo.ai/legal/privacy-policy ## Ownership & permitted use Retains ownership; licenses on approved terms. Status: published. Public source description, not a verified seller-specific contract. Source: https://www.troveo.ai/business-data Source: https://www.troveo.ai/resources/how-long-to-license-company-data Source: https://www.troveo.ai/legal/privacy-policy ## Privacy & approval Names, credentials and client identities scrubbed; timeline guide describes pseudonyms. Troveo handles exports; not a promise raw data never leaves seller. Status: advertised. Public source description, not a verified seller-specific contract. Source: https://www.troveo.ai/business-data Source: https://www.troveo.ai/resources/how-long-to-license-company-data Source: https://www.troveo.ai/legal/privacy-policy ## Exclusivity Time-limited; has to be earned; exit terms in agreement. Exact duration/performance thresholds not verified. Status: published. Public source description, not a verified seller-specific contract. Source: https://www.troveo.ai/business-data Source: https://www.troveo.ai/resources/how-long-to-license-company-data Source: https://www.troveo.ai/legal/privacy-policy ## Retention & deletion Not published / not established Status: unknown. Not established in inspected sources. Ask for the actual agreement; unknown does not mean free, unrestricted or accepted. ## HQ / published contact Published legal contact: Austin, Texas, US; operational HQ not independently established. Status: published. Public source description, not a verified seller-specific contract. Source: https://www.troveo.ai/business-data Source: https://www.troveo.ai/resources/how-long-to-license-company-data Source: https://www.troveo.ai/legal/privacy-policy ## Seller evidence No independently audited operating-business payout established in this research. Provider cases and partnership confirmations do not establish a typical seller outcome. ## Sources - Program evidence: https://www.troveo.ai/business-data (inspected 2026-10-13) - Supporting evidence: https://www.troveo.ai/resources/how-long-to-license-company-data (inspected 2026-10-13) - Supporting evidence: https://www.troveo.ai/legal/privacy-policy (inspected 2026-10-13) --- # Handshake AI https://licensethedata.com/buyers/handshake-ai/ Evidence inspected 2026-10-13. Direct licensing. Entity: Stryder Corp. d/b/a Handshake. ## Operating records AutoCAD, Figma, Gmail, Drive, NetSuite, Notion, QuickBooks, ServiceTitan and Slack Status: published. Public source description, not a verified seller-specific contract. Source: https://joinhandshake.com/ai/data-partnerships Source: https://joinhandshake.com/ai/data-partnerships/license Source: https://joinhandshake.com/privacy-policy ## Company eligibility 20+ full-time employees and 3+ years operating. Status: published. Public source description, not a verified seller-specific contract. Source: https://joinhandshake.com/ai/data-partnerships Source: https://joinhandshake.com/ai/data-partnerships/license Source: https://joinhandshake.com/privacy-policy ## Seller geography Estimator lists USA/Canada/Europe/Other; not a guaranteed acceptance list. Status: published. Public source description, not a verified seller-specific contract. Source: https://joinhandshake.com/ai/data-partnerships Source: https://joinhandshake.com/ai/data-partnerships/license Source: https://joinhandshake.com/privacy-policy ## Published compensation $100K–$4M+ advertised range; USD context not separately currency-verified. Calculator is indicative, not an offer; period not specified. Status: advertised. Public source description, not a verified seller-specific contract. Source: https://joinhandshake.com/ai/data-partnerships Source: https://joinhandshake.com/ai/data-partnerships/license Source: https://joinhandshake.com/privacy-policy ## Fees & net proceeds Not published / not established Status: unknown. Not established in inspected sources. Ask for the actual agreement; unknown does not mean free, unrestricted or accepted. ## Timeline & payment trigger No numerical end-to-end payout timeline verified. Status: advertised. Public source description, not a verified seller-specific contract. Source: https://joinhandshake.com/ai/data-partnerships Source: https://joinhandshake.com/ai/data-partnerships/license Source: https://joinhandshake.com/privacy-policy ## Preparation & seller effort Intake → scoping call → existing data transfer → cleaning → confidential lab delivery. Status: published. Public source description, not a verified seller-specific contract. Source: https://joinhandshake.com/ai/data-partnerships Source: https://joinhandshake.com/ai/data-partnerships/license Source: https://joinhandshake.com/privacy-policy ## Ownership & permitted use Not published / not established Status: unknown. Not established in inspected sources. Ask for the actual agreement; unknown does not mean free, unrestricted or accepted. ## Privacy & approval Training/evaluation only, not public. Removes direct/indirect identifiers but acknowledges re-identification risk; seller must ensure lawful transfer. Status: advertised. Public source description, not a verified seller-specific contract. Source: https://joinhandshake.com/ai/data-partnerships Source: https://joinhandshake.com/ai/data-partnerships/license Source: https://joinhandshake.com/privacy-policy ## Exclusivity Not published / not established Status: unknown. Not established in inspected sources. Ask for the actual agreement; unknown does not mean free, unrestricted or accepted. ## Retention & deletion Not published / not established Status: unknown. Not established in inspected sources. Ask for the actual agreement; unknown does not mean free, unrestricted or accepted. ## HQ / published contact Mailing address: San Francisco, CA, US; not independently verified operational HQ. Status: published. Public source description, not a verified seller-specific contract. Source: https://joinhandshake.com/ai/data-partnerships Source: https://joinhandshake.com/ai/data-partnerships/license Source: https://joinhandshake.com/privacy-policy ## Seller evidence No independently audited operating-business payout established in this research. Provider cases and partnership confirmations do not establish a typical seller outcome. ## Sources - Program evidence: https://joinhandshake.com/ai/data-partnerships (inspected 2026-10-13) - Supporting evidence: https://joinhandshake.com/ai/data-partnerships/license (inspected 2026-10-13) - Supporting evidence: https://joinhandshake.com/privacy-policy (inspected 2026-10-13) --- # Appen https://licensethedata.com/buyers/appen/ Evidence inspected 2026-10-13. Direct licensing. Entity: Appen Limited. ## Operating records SOPs, wikis, approval chains, support/ITSM/CRM, ERP, messaging, BI, contracts, HR/payroll Status: published. Public source description, not a verified seller-specific contract. Source: https://www.appen.com/enterprise-data ## Company eligibility Operating or winding-down companies; no size minimum published. Status: published. Public source description, not a verified seller-specific contract. Source: https://www.appen.com/enterprise-data ## Seller geography Not published / not established Status: unknown. Not established in inspected sources. Ask for the actual agreement; unknown does not mean free, unrestricted or accepted. ## Published compensation Individually quoted by rarity, structure and history. Status: advertised. Public source description, not a verified seller-specific contract. Source: https://www.appen.com/enterprise-data ## Fees & net proceeds No costs, setup fees or deductions. Status: published. Public source description, not a verified seller-specific contract. Source: https://www.appen.com/enterprise-data ## Timeline & payment trigger Payment on acceptance; two-business-day response is not a payout deadline. Status: advertised. Public source description, not a verified seller-specific contract. Source: https://www.appen.com/enterprise-data ## Preparation & seller effort Register → NDA → written scope → extraction → representative sample sign-off → license. Status: published. Public source description, not a verified seller-specific contract. Source: https://www.appen.com/enterprise-data ## Ownership & permitted use Retains ownership. Status: published. Public source description, not a verified seller-specific contract. Source: https://www.appen.com/enterprise-data ## Privacy & approval Read-only encrypted isolated pipelines; anonymization or synthetic rewrites; buyers/third parties do not see raw data; retention/deletion agreed before extraction. Status: advertised. Public source description, not a verified seller-specific contract. Source: https://www.appen.com/enterprise-data ## Exclusivity Not published / not established Status: unknown. Not established in inspected sources. Ask for the actual agreement; unknown does not mean free, unrestricted or accepted. ## Retention & deletion Retention/deletion follow agreed terms; no public exact duration. Status: published. Public source description, not a verified seller-specific contract. Source: https://www.appen.com/enterprise-data ## HQ / published contact Corporate HQ Sydney, Australia; US HQ Kirkland, Washington, according to program page. Status: published. Public source description, not a verified seller-specific contract. Source: https://www.appen.com/enterprise-data ## Seller evidence No independently audited operating-business payout established in this research. Provider cases and partnership confirmations do not establish a typical seller outcome. ## Sources - Program evidence: https://www.appen.com/enterprise-data (inspected 2026-10-13) --- # Centific https://licensethedata.com/buyers/centific/ Evidence inspected 2026-10-13. Direct licensing. Entity: Centific Global Solutions, Inc.. ## Operating records CRM, contracts, projects, email, finance, healthcare operations, HR, ITSM and warehouses Status: published. Public source description, not a verified seller-specific contract. Source: https://www.centific.com/enterprise-data Source: https://www.centific.com/legal/legal-info Source: https://www.centific.com/company/locations ## Company eligibility Operating, winding-down or closed companies. Intake includes Up to 50; no numerical minimum published. Status: published. Public source description, not a verified seller-specific contract. Source: https://www.centific.com/enterprise-data Source: https://www.centific.com/legal/legal-info Source: https://www.centific.com/company/locations ## Seller geography Not published / not established Status: unknown. Not established in inspected sources. Ask for the actual agreement; unknown does not mean free, unrestricted or accepted. ## Published compensation Written individually scoped estimate; employee annotation optional and priced separately. Status: advertised. Public source description, not a verified seller-specific contract. Source: https://www.centific.com/enterprise-data Source: https://www.centific.com/legal/legal-info Source: https://www.centific.com/company/locations ## Fees & net proceeds No extraction/anonymization/transfer fees, setup costs or deductions. Status: published. Public source description, not a verified seller-specific contract. Source: https://www.centific.com/enterprise-data Source: https://www.centific.com/legal/legal-info Source: https://www.centific.com/company/locations ## Timeline & payment trigger Most partnerships reach first accepted contribution in 6–10 weeks; payment on acceptance. Acceptance estimate is not a payout SLA. Status: advertised. Public source description, not a verified seller-specific contract. Source: https://www.centific.com/enterprise-data Source: https://www.centific.com/legal/legal-info Source: https://www.centific.com/company/locations ## Preparation & seller effort Estimate → scoped connections (188 applications) → extraction → anonymization → sample approval → acceptance; optional quarterly refresh. Status: published. Public source description, not a verified seller-specific contract. Source: https://www.centific.com/enterprise-data Source: https://www.centific.com/legal/legal-info Source: https://www.centific.com/company/locations ## Ownership & permitted use License or, for some wind-downs, asset-purchase agreement; distinguish ownership sale from licensing. Status: published. Public source description, not a verified seller-specific contract. Source: https://www.centific.com/enterprise-data Source: https://www.centific.com/legal/legal-info Source: https://www.centific.com/company/locations ## Privacy & approval Scoped read-only, encrypted and logged processing; sample approval. Status: advertised. Public source description, not a verified seller-specific contract. Source: https://www.centific.com/enterprise-data Source: https://www.centific.com/legal/legal-info Source: https://www.centific.com/company/locations ## Exclusivity Not published / not established Status: unknown. Not established in inspected sources. Ask for the actual agreement; unknown does not mean free, unrestricted or accepted. ## Retention & deletion Not published / not established Status: unknown. Not established in inspected sources. Ask for the actual agreement; unknown does not mean free, unrestricted or accepted. ## HQ / published contact Redmond, WA, US; Suite 100 versus St.120 address discrepancy in official pages needs confirmation. Status: published. Public source description, not a verified seller-specific contract. Source: https://www.centific.com/enterprise-data Source: https://www.centific.com/legal/legal-info Source: https://www.centific.com/company/locations ## Seller evidence No independently audited operating-business payout established in this research. Provider cases and partnership confirmations do not establish a typical seller outcome. ## Sources - Program evidence: https://www.centific.com/enterprise-data (inspected 2026-10-13) - Supporting evidence: https://www.centific.com/legal/legal-info (inspected 2026-10-13) - Supporting evidence: https://www.centific.com/company/locations (inspected 2026-10-13) --- # Replay https://licensethedata.com/buyers/replay/ Evidence inspected 2026-10-13. Managed intermediary. Entity: Sunsets HQ Corp.. ## Operating records CRM, support, threads, code/commits, docs, financial records, presentations and product analytics Status: published. Public source description, not a verified seller-specific contract. Source: https://www.replay.ai Source: https://www.replay.ai/terms Source: https://www.replay.ai/data-privacy ## Company eligibility Advertised employee bands: 20–50, 50–250, 250+. Not a verified hard minimum. Status: published. Public source description, not a verified seller-specific contract. Source: https://www.replay.ai Source: https://www.replay.ai/terms Source: https://www.replay.ai/data-privacy ## Seller geography Not published / not established Status: unknown. Not established in inspected sources. Ask for the actual agreement; unknown does not mean free, unrestricted or accepted. ## Published compensation Advertised size bands: $10K–$100K, $100K–$1M, $1M+. USD context; typically upfront cash plus perpetual revenue share, percentage not published. Status: advertised. Public source description, not a verified seller-specific contract. Source: https://www.replay.ai Source: https://www.replay.ai/terms Source: https://www.replay.ai/data-privacy ## Fees & net proceeds Not published / not established Status: unknown. Not established in inspected sources. Ask for the actual agreement; unknown does not mean free, unrestricted or accepted. ## Timeline & payment trigger 120 minutes refers to seller effort, not payment speed; payout deadline not published. Status: advertised. Public source description, not a verified seller-specific contract. Source: https://www.replay.ai Source: https://www.replay.ai/terms Source: https://www.replay.ai/data-privacy ## Preparation & seller effort Value → offer → export/de-identify → payout. Status: published. Public source description, not a verified seller-specific contract. Source: https://www.replay.ai Source: https://www.replay.ai/terms Source: https://www.replay.ai/data-privacy ## Ownership & permitted use Retains underlying data, code and IP; cleaned version licensed. Status: published. Public source description, not a verified seller-specific contract. Source: https://www.replay.ai Source: https://www.replay.ai/terms Source: https://www.replay.ai/data-privacy ## Privacy & approval Deletion from Replay on request if not continuing; separate commercial agreement governs liability and downstream terms. Status: advertised. Public source description, not a verified seller-specific contract. Source: https://www.replay.ai Source: https://www.replay.ai/terms Source: https://www.replay.ai/data-privacy ## Exclusivity Not published / not established Status: unknown. Not established in inspected sources. Ask for the actual agreement; unknown does not mean free, unrestricted or accepted. ## Retention & deletion Not published / not established Status: unknown. Not established in inspected sources. Ask for the actual agreement; unknown does not mean free, unrestricted or accepted. ## HQ / published contact Delaware corporation; contact Brooklyn, NY, US. Not independently verified operational HQ. Status: published. Public source description, not a verified seller-specific contract. Source: https://www.replay.ai Source: https://www.replay.ai/terms Source: https://www.replay.ai/data-privacy ## Seller evidence No independently audited operating-business payout established in this research. Provider cases and partnership confirmations do not establish a typical seller outcome. ## Sources - Program evidence: https://www.replay.ai (inspected 2026-10-13) - Supporting evidence: https://www.replay.ai/terms (inspected 2026-10-13) - Supporting evidence: https://www.replay.ai/data-privacy (inspected 2026-10-13) --- # Turing Project Lazarus https://licensethedata.com/buyers/turing-lazarus/ Evidence inspected 2026-10-13. Direct licensing. Entity: Turing Enterprises, Inc.. ## Operating records Communications, tickets, wikis, databases and code; code not required and not bought alone Status: published. Public source description, not a verified seller-specific contract. Source: https://lazarus.turing.com ## Company eligibility Any company with real operating history and an authorized representative; operating, winding-down or closed. Status: published. Public source description, not a verified seller-specific contract. Source: https://lazarus.turing.com ## Seller geography Most regions; strongest demand US/UK/Canada/EU; export restrictions apply. Status: published. Public source description, not a verified seller-specific contract. Source: https://lazarus.turing.com ## Published compensation Single payout up to $1M; USD context; not recurring royalties or a guaranteed offer. Status: advertised. Public source description, not a verified seller-specific contract. Source: https://lazarus.turing.com ## Fees & net proceeds Not published / not established Status: unknown. Not established in inspected sources. Ask for the actual agreement; unknown does not mean free, unrestricted or accepted. ## Timeline & payment trigger Intake call within one business day; valuation usually within a week of access. Neither is a payout deadline. Status: advertised. Public source description, not a verified seller-specific contract. Source: https://lazarus.turing.com ## Preparation & seller effort NDA → intake → representative sampling/valuation → one contract. Status: published. Public source description, not a verified seller-specific contract. Source: https://lazarus.turing.com ## Ownership & permitted use Retains underlying ownership; defined rights to prepared record. Status: published. Public source description, not a verified seller-specific contract. Source: https://lazarus.turing.com ## Privacy & approval Named team, scoped access, air-gapped processing; personal data/secrets removed before model use. SOC 2 Type II claimed. Status: advertised. Public source description, not a verified seller-specific contract. Source: https://lazarus.turing.com ## Exclusivity Not published / not established Status: unknown. Not established in inspected sources. Ask for the actual agreement; unknown does not mean free, unrestricted or accepted. ## Retention & deletion Not published / not established Status: unknown. Not established in inspected sources. Ask for the actual agreement; unknown does not mean free, unrestricted or accepted. ## HQ / published contact Not published / not established Status: unknown. Not established in inspected sources. Ask for the actual agreement; unknown does not mean free, unrestricted or accepted. ## Seller evidence No independently audited operating-business payout established in this research. Provider cases and partnership confirmations do not establish a typical seller outcome. ## Sources - Program evidence: https://lazarus.turing.com (inspected 2026-10-13) --- # Hookshot Data / Protege AI https://licensethedata.com/buyers/hookshot-data/ Evidence inspected 2026-10-13. Managed intermediary. Entity: Reality Platforms, Inc. DBA Protege AI. ## Operating records ServiceNow ITSM resolutions (current fastest focus), SOPs, CRM, incidents, engineering reviews, finance and wikis Status: published. Public source description, not a verified seller-specific contract. Source: https://www.tryprotege.com/data-licensing Source: https://www.tryprotege.com/privacy-policy ## Company eligibility No size threshold published; each PE portfolio company retains sign-off. Status: published. Public source description, not a verified seller-specific contract. Source: https://www.tryprotege.com/data-licensing Source: https://www.tryprotege.com/privacy-policy ## Seller geography Not published / not established Status: unknown. Not established in inspected sources. Ask for the actual agreement; unknown does not mean free, unrestricted or accepted. ## Published compensation Upfront or license fees; low-six to low-seven figure comparable deals are context, not verified Hookshot seller receipts. Status: advertised. Public source description, not a verified seller-specific contract. Source: https://www.tryprotege.com/data-licensing Source: https://www.tryprotege.com/privacy-policy ## Fees & net proceeds Not published / not established Status: unknown. Not established in inspected sources. Ask for the actual agreement; unknown does not mean free, unrestricted or accepted. ## Timeline & payment trigger Not published / not established Status: unknown. Not established in inspected sources: No dated payment SLA published. Ask the provider; missing terms do not establish acceptance, free fees or a payment deadline. Inspection URLs remain in the profile source list. ## Preparation & seller effort Scope → preparation/anonymization → RL environments → disclosed buyer match/pay. Status: published. Public source description, not a verified seller-specific contract. Source: https://www.tryprotege.com/data-licensing Source: https://www.tryprotege.com/privacy-policy ## Ownership & permitted use Retains ownership; defined scope/duration to one disclosed buyer; categories may be declined. Status: published. Public source description, not a verified seller-specific contract. Source: https://www.tryprotege.com/data-licensing Source: https://www.tryprotege.com/privacy-policy ## Privacy & approval Provider handles augmentation and anonymization; sensitive scope can be excluded. Status: advertised. Public source description, not a verified seller-specific contract. Source: https://www.tryprotege.com/data-licensing Source: https://www.tryprotege.com/privacy-policy ## Exclusivity Not published / not established Status: unknown. Not established in inspected sources. Ask for the actual agreement; unknown does not mean free, unrestricted or accepted. ## Retention & deletion Not published / not established Status: unknown. Not established in inspected sources. Ask for the actual agreement; unknown does not mean free, unrestricted or accepted. ## HQ / published contact Not published / not established Status: unknown. Not established in inspected sources. Ask for the actual agreement; unknown does not mean free, unrestricted or accepted. ## Seller evidence No independently audited operating-business payout established in this research. Provider cases and partnership confirmations do not establish a typical seller outcome. ## Sources - Program evidence: https://www.tryprotege.com/data-licensing (inspected 2026-10-13) - Supporting evidence: https://www.tryprotege.com/privacy-policy (inspected 2026-10-13) --- # SimpleClosure AssetHub https://licensethedata.com/buyers/simpleclosure-assethub/ Evidence inspected 2026-10-13. Asset sale / licensing. Entity: Simple Closure Inc.. ## Operating records Startup workspace/code assets: Slack, email, Drive, Notion, Figma and project context Status: published. Public source description, not a verified seller-specific contract. Source: https://simpleclosure.com/product/assethub Source: https://simpleclosure.com/blog/insights/what-your-assets-are-worth Source: https://www.upstartsmedia.com/p/exclusive-simpleclosure-data-what-ai-labs-buy ## Company eligibility Includes still-operating companies, per CEO; no public size minimum. Status: published. Public source description, not a verified seller-specific contract. Source: https://simpleclosure.com/product/assethub Source: https://simpleclosure.com/blog/insights/what-your-assets-are-worth Source: https://www.upstartsmedia.com/p/exclusive-simpleclosure-data-what-ai-labs-buy ## Seller geography Not published / not established Status: unknown. Not established in inspected sources. Ask for the actual agreement; unknown does not mean free, unrestricted or accepted. ## Published compensation CEO reports tens-to-hundreds-of-thousands deals; enterprise potentially millions. Provider claims, not audited operating-data payouts. Status: advertised. Public source description, not a verified seller-specific contract. Source: https://simpleclosure.com/product/assethub Source: https://simpleclosure.com/blog/insights/what-your-assets-are-worth Source: https://www.upstartsmedia.com/p/exclusive-simpleclosure-data-what-ai-labs-buy ## Fees & net proceeds No upfront cost; takes a percentage only on successful sale/license. Percentage not published. Status: published. Public source description, not a verified seller-specific contract. Source: https://simpleclosure.com/product/assethub Source: https://simpleclosure.com/blog/insights/what-your-assets-are-worth Source: https://www.upstartsmedia.com/p/exclusive-simpleclosure-data-what-ai-labs-buy ## Timeline & payment trigger Assessment often hours/days; not a payment deadline. Status: advertised. Public source description, not a verified seller-specific contract. Source: https://simpleclosure.com/product/assethub Source: https://simpleclosure.com/blog/insights/what-your-assets-are-worth Source: https://www.upstartsmedia.com/p/exclusive-simpleclosure-data-what-ai-labs-buy ## Preparation & seller effort Submit assets → viability assessment → buyer match → sale/license. Status: published. Public source description, not a verified seller-specific contract. Source: https://simpleclosure.com/product/assethub Source: https://simpleclosure.com/blog/insights/what-your-assets-are-worth Source: https://www.upstartsmedia.com/p/exclusive-simpleclosure-data-what-ai-labs-buy ## Ownership & permitted use Retain assets through license or transfer them outright through sale, depending on deal. Status: published. Public source description, not a verified seller-specific contract. Source: https://simpleclosure.com/product/assethub Source: https://simpleclosure.com/blog/insights/what-your-assets-are-worth Source: https://www.upstartsmedia.com/p/exclusive-simpleclosure-data-what-ai-labs-buy ## Privacy & approval Seller controls scope; sensitive data removed/de-identified before downstream licensing. Status: advertised. Public source description, not a verified seller-specific contract. Source: https://simpleclosure.com/product/assethub Source: https://simpleclosure.com/blog/insights/what-your-assets-are-worth Source: https://www.upstartsmedia.com/p/exclusive-simpleclosure-data-what-ai-labs-buy ## Exclusivity Not published / not established Status: unknown. Not established in inspected sources. Ask for the actual agreement; unknown does not mean free, unrestricted or accepted. ## Retention & deletion Not published / not established Status: unknown. Not established in inspected sources. Ask for the actual agreement; unknown does not mean free, unrestricted or accepted. ## HQ / published contact Not published / not established Status: unknown. Not established in inspected sources. Ask for the actual agreement; unknown does not mean free, unrestricted or accepted. ## Seller evidence No independently audited operating-business payout established in this research. Provider cases and partnership confirmations do not establish a typical seller outcome. ## Sources - Program evidence: https://simpleclosure.com/product/assethub (inspected 2026-10-13) - Supporting evidence: https://simpleclosure.com/blog/insights/what-your-assets-are-worth (inspected 2026-10-13) - Supporting evidence: https://www.upstartsmedia.com/p/exclusive-simpleclosure-data-what-ai-labs-buy (inspected 2026-10-13) --- # Protege https://licensethedata.com/buyers/protege/ Evidence inspected 2026-10-13. Specialist licensing. Entity: Protege Health, Inc.. ## Operating records Healthcare, video, audio/speech, spatial/physical and other domains; generic CRM/SOP archives not explicitly enumerated Status: published. Public source description, not a verified seller-specific contract. Source: https://withprotege.ai/data-provider/other-domains Source: https://withprotege.ai/blog/gradient-health-and-protege-partner-to-bring-multi-modal-scale-and-data-diversity-to-healthcare-ai Source: https://gradienthealth.io/blog/gradient-health-partners-protege ## Company eligibility Typically owns outright or controls broad global/all-media rights; quality and opportunity-specific qualification. Status: published. Public source description, not a verified seller-specific contract. Source: https://withprotege.ai/data-provider/other-domains Source: https://withprotege.ai/blog/gradient-health-and-protege-partner-to-bring-multi-modal-scale-and-data-diversity-to-healthcare-ai Source: https://gradienthealth.io/blog/gradient-health-partners-protege ## Seller geography Not published / not established Status: unknown. Not established in inspected sources. Ask for the actual agreement; unknown does not mean free, unrestricted or accepted. ## Published compensation Negotiated revenue share. Gradient Health seven-figure revenue is a provider-hosted specialist case, not an ordinary business rate. Status: advertised. Public source description, not a verified seller-specific contract. Source: https://withprotege.ai/data-provider/other-domains Source: https://withprotege.ai/blog/gradient-health-and-protege-partner-to-bring-multi-modal-scale-and-data-diversity-to-healthcare-ai Source: https://gradienthealth.io/blog/gradient-health-partners-protege ## Fees & net proceeds Not published / not established Status: unknown. Not established in inspected sources. Ask for the actual agreement; unknown does not mean free, unrestricted or accepted. ## Timeline & payment trigger Active opportunities often fulfilled under a month; fulfillment is not seller payment timing. Status: advertised. Public source description, not a verified seller-specific contract. Source: https://withprotege.ai/data-provider/other-domains Source: https://withprotege.ai/blog/gradient-health-and-protege-partner-to-bring-multi-modal-scale-and-data-diversity-to-healthcare-ai Source: https://gradienthealth.io/blog/gradient-health-partners-protege ## Preparation & seller effort Discovery → revenue-share agreement → curate/QA/mask → qualified deal → revenue-share payment. Status: published. Public source description, not a verified seller-specific contract. Source: https://withprotege.ai/data-provider/other-domains Source: https://withprotege.ai/blog/gradient-health-and-protege-partner-to-bring-multi-modal-scale-and-data-diversity-to-healthcare-ai Source: https://gradienthealth.io/blog/gradient-health-partners-protege ## Ownership & permitted use Retains ownership; limited defined AI training/fine-tuning/evaluation/benchmarking rights; no public exhibition/redistribution/entertainment use. Status: published. Public source description, not a verified seller-specific contract. Source: https://withprotege.ai/data-provider/other-domains Source: https://withprotege.ai/blog/gradient-health-and-protege-partner-to-bring-multi-modal-scale-and-data-diversity-to-healthcare-ai Source: https://gradienthealth.io/blog/gradient-health-partners-protege ## Privacy & approval Identifier removal and jurisdiction-specific workflows; optional anonymization/voice modification. Media FAQ is not a universal operating-data contract. Status: advertised. Public source description, not a verified seller-specific contract. Source: https://withprotege.ai/data-provider/other-domains Source: https://withprotege.ai/blog/gradient-health-and-protege-partner-to-bring-multi-modal-scale-and-data-diversity-to-healthcare-ai Source: https://gradienthealth.io/blog/gradient-health-partners-protege ## Exclusivity Not published / not established Status: unknown. Not established in inspected sources. Ask for the actual agreement; unknown does not mean free, unrestricted or accepted. ## Retention & deletion Not published / not established Status: unknown. Not established in inspected sources. Ask for the actual agreement; unknown does not mean free, unrestricted or accepted. ## HQ / published contact Published contact: New York, NY, US; not independently verified operational HQ. Status: published. Public source description, not a verified seller-specific contract. Source: https://withprotege.ai/data-provider/other-domains Source: https://withprotege.ai/blog/gradient-health-and-protege-partner-to-bring-multi-modal-scale-and-data-diversity-to-healthcare-ai Source: https://gradienthealth.io/blog/gradient-health-partners-protege ## Seller evidence Gradient Health seller-hosted announcement corroborates partnership and imaging supply, not revenue. Provider-hosted case claims seven-figure revenue; no independently audited receipt. ## Sources - Program evidence: https://withprotege.ai/data-provider/other-domains (inspected 2026-10-13) - Supporting evidence: https://withprotege.ai/blog/gradient-health-and-protege-partner-to-bring-multi-modal-scale-and-data-diversity-to-healthcare-ai (inspected 2026-10-13) - Supporting evidence: https://gradienthealth.io/blog/gradient-health-partners-protege (inspected 2026-10-13) --- # Defined.ai https://licensethedata.com/buyers/defined-ai/ Evidence inspected 2026-10-13. Managed marketplace. Entity: Defined.ai (contracting entity to confirm). ## Operating records Audio/video/images/text/multimodal; sales, stock, shipping, code, STEM, cinematic/anime Status: published. Public provider claim; not guaranteed purchase or payout. Source: https://defined.ai/partnership-programs Source: https://defined.ai/supplier-program Source: https://defined.ai/candidate-privacy-statement ## Company eligibility No fixed minimum; quality/metadata/rights, consent and compliance/cybersecurity vetting Status: published. Public provider claim; not guaranteed purchase or payout. Source: https://defined.ai/partnership-programs Source: https://defined.ai/supplier-program Source: https://defined.ai/candidate-privacy-statement ## Seller geography Applicable rights/regulatory compliance; no blanket country acceptance verified Status: published. Public provider claim; not guaranteed purchase or payout. Source: https://defined.ai/partnership-programs Source: https://defined.ai/supplier-program Source: https://defined.ai/candidate-privacy-statement ## Published compensation Licensing fees driven by marketplace demand; terms partner-approved. $600K+ average revenue is a vendor statistic; currency context and period not independently established, not a guarantee Status: advertised. Public provider claim; not guaranteed purchase or payout. Source: https://defined.ai/partnership-programs Source: https://defined.ai/supplier-program Source: https://defined.ai/candidate-privacy-statement ## Fees & net proceeds Not published / not established Status: unknown. Not established in inspected sources: Not published. Ask the provider; missing terms do not establish acceptance, free fees or a payment deadline. Inspection URLs remain in the profile source list. ## Timeline & payment trigger Four-stage onboarding; no fixed elapsed-time or payout commitment Status: advertised. Public provider claim; not guaranteed purchase or payout. Source: https://defined.ai/partnership-programs Source: https://defined.ai/supplier-program Source: https://defined.ai/candidate-privacy-statement ## Preparation & seller effort Apply as Data Partner via Jira portal; login needed Status: published. Public provider claim; not guaranteed purchase or payout. Source: https://defined.ai/partnership-programs Source: https://defined.ai/supplier-program Source: https://defined.ai/candidate-privacy-statement ## Ownership & permitted use Not published / not established Status: unknown. Not established in inspected sources; confirm in contract. ## Privacy & approval Consent, compliance, cybersecurity and rights vetting; samples may be showcased under a free nonexclusive license. Confirm the Data Partner contract, not service-supplier project terms. Status: advertised. Public provider claim; not guaranteed purchase or payout. Source: https://defined.ai/partnership-programs Source: https://defined.ai/supplier-program Source: https://defined.ai/candidate-privacy-statement ## Exclusivity Not published / not established Status: unknown. Not established in inspected sources; confirm in contract. ## Retention & deletion Not published / not established Status: unknown. Not established in inspected sources; confirm in contract. ## HQ / published contact US; Seattle, with Lisbon office; seller eligibility is separate. Status: published. Public provider claim; not guaranteed purchase or payout. Source: https://defined.ai/partnership-programs Source: https://defined.ai/supplier-program Source: https://defined.ai/candidate-privacy-statement ## Seller evidence No independently verified operating-business seller payout found. Marketplace listing or matching is not a purchase commitment. ## Sources - Seller program evidence: https://defined.ai/partnership-programs (inspected 2026-10-13) - Seller program evidence: https://defined.ai/supplier-program (inspected 2026-10-13) - Seller program evidence: https://defined.ai/candidate-privacy-statement (inspected 2026-10-13) --- # Datarade https://licensethedata.com/buyers/datarade/ Evidence inspected 2026-10-13. Marketplace. Entity: Datarade (contracting entity to confirm). ## Operating records Broad dataset categories and AI-ready data products Status: published. Public provider claim; not guaranteed purchase or payout. Source: https://providers.datarade.ai/apply Source: https://datarade.ai/company ## Company eligibility Application reviewed for company, datasets, buyer fit and quality Status: published. Public provider claim; not guaranteed purchase or payout. Source: https://providers.datarade.ai/apply Source: https://datarade.ai/company ## Seller geography Global reach claimed; provider legal eligibility not blanket guaranteed Status: published. Public provider claim; not guaranteed purchase or payout. Source: https://providers.datarade.ai/apply Source: https://datarade.ai/company ## Published compensation Seller-priced product sales / leads; third-party buyers purchase Status: advertised. Public provider claim; not guaranteed purchase or payout. Source: https://providers.datarade.ai/apply Source: https://datarade.ai/company ## Fees & net proceeds Commission-only $0/year +30%; Bronze $6,000/year +20%; Gold custom. Advertised dollar pricing; currency not independently established in this research. Status: published. Public provider claim; not guaranteed purchase or payout. Source: https://providers.datarade.ai/apply Source: https://datarade.ai/company ## Timeline & payment trigger 3-minute application; 1–2 business-day review claimed; no first-sale/payout SLA Status: advertised. Public provider claim; not guaranteed purchase or payout. Source: https://providers.datarade.ai/apply Source: https://datarade.ai/company ## Preparation & seller effort Provider Studio application Status: published. Public provider claim; not guaranteed purchase or payout. Source: https://providers.datarade.ai/apply Source: https://datarade.ai/company ## Ownership & permitted use Not published / not established Status: unknown. Not established in inspected sources; confirm in contract. ## Privacy & approval Not published / not established Status: unknown. Not established in inspected sources; confirm in contract. ## Exclusivity Not published / not established Status: unknown. Not established in inspected sources; confirm in contract. ## Retention & deletion Not published / not established Status: unknown. Not established in inspected sources; confirm in contract. ## HQ / published contact Germany; Berlin; seller eligibility is separate. Status: published. Public provider claim; not guaranteed purchase or payout. Source: https://providers.datarade.ai/apply Source: https://datarade.ai/company ## Seller evidence No independently verified operating-business seller payout found. Marketplace listing or matching is not a purchase commitment. ## Sources - Seller program evidence: https://providers.datarade.ai/apply (inspected 2026-10-13) - Seller program evidence: https://datarade.ai/company (inspected 2026-10-13) --- # Nomad Data https://licensethedata.com/buyers/nomad-data/ Evidence inspected 2026-10-13. Matching network. Entity: Nomad Data (contracting entity to confirm). ## Operating records General commercial datasets and expertise Status: published. Public provider claim; not guaranteed purchase or payout. Source: https://www.nomad-data.com/data-sellers ## Company eligibility Match data supply to buyer question; negotiate directly Status: published. Public provider claim; not guaranteed purchase or payout. Source: https://www.nomad-data.com/data-sellers ## Seller geography Not published / not established Status: unknown. Not established in inspected sources: Not published. Ask the provider; missing terms do not establish acceptance, free fees or a payment deadline. Inspection URLs remain in the profile source list. ## Published compensation Direct buyer contract, seller keeps 100% of sale Status: advertised. Public provider claim; not guaranteed purchase or payout. Source: https://www.nomad-data.com/data-sellers ## Fees & net proceeds No usage or transaction fees stated; other subscription costs not established Status: published. Public provider claim; not guaranteed purchase or payout. Source: https://www.nomad-data.com/data-sellers ## Timeline & payment trigger No buyer match, contract or payout SLA Status: advertised. Public provider claim; not guaranteed purchase or payout. Source: https://www.nomad-data.com/data-sellers ## Preparation & seller effort Data Sellers / seller connection route Status: published. Public provider claim; not guaranteed purchase or payout. Source: https://www.nomad-data.com/data-sellers ## Ownership & permitted use Not published / not established Status: unknown. Not established in inspected sources; confirm in contract. ## Privacy & approval Nomad says it does not need access to seller data; buyer-specific agreements still require diligence. Status: advertised. Public provider claim; not guaranteed purchase or payout. Source: https://www.nomad-data.com/data-sellers ## Exclusivity Not published / not established Status: unknown. Not established in inspected sources; confirm in contract. ## Retention & deletion Not published / not established Status: unknown. Not established in inspected sources; confirm in contract. ## HQ / published contact Not published / not established Status: unknown. Not established in inspected sources; confirm in contract. ## Seller evidence No independently verified operating-business seller payout found. Marketplace listing or matching is not a purchase commitment. ## Sources - Seller program evidence: https://www.nomad-data.com/data-sellers (inspected 2026-10-13) # Pair-specific decision analyses ## Mercor vs micro1 https://licensethedata.com/compare/mercor-vs-micro1/ — indexable: false Review state: pending For company-size screening, a 20–29 employee company falls below micro1’s published 30+ target. Mercor must be scoped against its own eligibility description; silence is not acceptance. If cash timing matters, Mercor publishes wire on buyer delivery, typically 2–4 weeks after signing. micro1: null Sources: https://www.mercor.com/data, https://www.mercor.com/privacy-notice, https://www.micro1.ai/data-partnerships, https://www.micro1.ai/privacy-policy, https://www.micro1.ai/blog/micro1-commits-1b-to-enterprise-data-acquisition ## micro1 vs Troveo https://licensethedata.com/compare/micro1-vs-troveo/ — indexable: false Review state: pending For company-size screening, a 20–29 employee company falls below micro1’s published 30+ target. Troveo must be scoped against its own eligibility description; silence is not acceptance. If you prefer guided exports instead of connected-account access, Troveo explicitly avoids OAuth and integrations. micro1 describes: Evaluation → discovery → agreed requirements → partnership. micro1: Payment timing not established; ask the provider. Troveo: Under a month from signed deal to first payout for in-demand datasets only; pre-signing diligence unquantified. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://www.micro1.ai/data-partnerships, https://www.micro1.ai/privacy-policy, https://www.micro1.ai/blog/micro1-commits-1b-to-enterprise-data-acquisition, https://www.troveo.ai/business-data, https://www.troveo.ai/resources/how-long-to-license-company-data, https://www.troveo.ai/legal/privacy-policy ## Handshake AI vs micro1 https://licensethedata.com/compare/handshake-ai-vs-micro1/ — indexable: false Review state: pending For company-size screening, a 20–29 employee company falls below micro1’s published 30+ target. Handshake publishes 20+ full-time employees, but also requires 3+ years operating. For your existing records, start with category fit: Handshake AI lists AutoCAD, Figma, Gmail, Drive, NetSuite, Notion, QuickBooks, ServiceTitan and Slack; micro1 lists SOPs, knowledge bases, CRM, projects, QA and internal processes. Ask each which subset has active demand before preparing exports. Handshake AI: No numerical end-to-end payout timeline verified. micro1: Payment timing not established; ask the provider. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://joinhandshake.com/ai/data-partnerships, https://joinhandshake.com/ai/data-partnerships/license, https://joinhandshake.com/privacy-policy, https://www.micro1.ai/data-partnerships, https://www.micro1.ai/privacy-policy, https://www.micro1.ai/blog/micro1-commits-1b-to-enterprise-data-acquisition ## Appen vs micro1 https://licensethedata.com/compare/appen-vs-micro1/ — indexable: false Review state: pending For company-size screening, a 20–29 employee company falls below micro1’s published 30+ target. Appen must be scoped against its own eligibility description; silence is not acceptance. For your existing records, start with category fit: Appen lists SOPs, wikis, approval chains, support/ITSM/CRM, ERP, messaging, BI, contracts, HR/payroll; micro1 lists SOPs, knowledge bases, CRM, projects, QA and internal processes. Ask each which subset has active demand before preparing exports. Appen: Payment on acceptance; two-business-day response is not a payout deadline. micro1: Payment timing not established; ask the provider. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://www.appen.com/enterprise-data, https://www.micro1.ai/data-partnerships, https://www.micro1.ai/privacy-policy, https://www.micro1.ai/blog/micro1-commits-1b-to-enterprise-data-acquisition ## Centific vs micro1 https://licensethedata.com/compare/centific-vs-micro1/ — indexable: false Review state: pending For company-size screening, a 20–29 employee company falls below micro1’s published 30+ target. Centific must be scoped against its own eligibility description; silence is not acceptance. For your existing records, start with category fit: Centific lists CRM, contracts, projects, email, finance, healthcare operations, HR, ITSM and warehouses; micro1 lists SOPs, knowledge bases, CRM, projects, QA and internal processes. Ask each which subset has active demand before preparing exports. Centific: Most partnerships reach first accepted contribution in 6–10 weeks; payment on acceptance. Acceptance estimate is not a payout SLA. micro1: Payment timing not established; ask the provider. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://www.centific.com/enterprise-data, https://www.centific.com/legal/legal-info, https://www.centific.com/company/locations, https://www.micro1.ai/data-partnerships, https://www.micro1.ai/privacy-policy, https://www.micro1.ai/blog/micro1-commits-1b-to-enterprise-data-acquisition ## micro1 vs Replay https://licensethedata.com/compare/micro1-vs-replay/ — indexable: false Review state: pending For company-size screening, a 20–29 employee company falls below micro1’s published 30+ target. Replay must be scoped against its own eligibility description; silence is not acceptance. For your existing records, start with category fit: micro1 lists SOPs, knowledge bases, CRM, projects, QA and internal processes; Replay lists CRM, support, threads, code/commits, docs, financial records, presentations and product analytics. Ask each which subset has active demand before preparing exports. micro1: Payment timing not established; ask the provider. Replay: 120 minutes refers to seller effort, not payment speed; payout deadline not published. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://www.micro1.ai/data-partnerships, https://www.micro1.ai/privacy-policy, https://www.micro1.ai/blog/micro1-commits-1b-to-enterprise-data-acquisition, https://www.replay.ai, https://www.replay.ai/terms, https://www.replay.ai/data-privacy ## micro1 vs Turing Project Lazarus https://licensethedata.com/compare/micro1-vs-turing-lazarus/ — indexable: false Review state: pending For company-size screening, a 20–29 employee company falls below micro1’s published 30+ target. Turing Project Lazarus must be scoped against its own eligibility description; silence is not acceptance. For your existing records, start with category fit: micro1 lists SOPs, knowledge bases, CRM, projects, QA and internal processes; Turing Project Lazarus lists Communications, tickets, wikis, databases and code; code not required and not bought alone. Ask each which subset has active demand before preparing exports. micro1: Payment timing not established; ask the provider. Turing Project Lazarus: Intake call within one business day; valuation usually within a week of access. Neither is a payout deadline. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://www.micro1.ai/data-partnerships, https://www.micro1.ai/privacy-policy, https://www.micro1.ai/blog/micro1-commits-1b-to-enterprise-data-acquisition, https://lazarus.turing.com ## Hookshot Data / Protege AI vs micro1 https://licensethedata.com/compare/hookshot-data-vs-micro1/ — indexable: false Review state: pending For company-size screening, a 20–29 employee company falls below micro1’s published 30+ target. Hookshot Data / Protege AI must be scoped against its own eligibility description; silence is not acceptance. For ServiceNow resolution histories, Hookshot names a current fastest focus. micro1 lists SOPs, knowledge bases, CRM, projects, QA and internal processes. Broader categories do not establish current buyer demand. Hookshot Data / Protege AI: Payment timing not established; ask the provider. micro1: Payment timing not established; ask the provider. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://www.tryprotege.com/data-licensing, https://www.tryprotege.com/privacy-policy, https://www.micro1.ai/data-partnerships, https://www.micro1.ai/privacy-policy, https://www.micro1.ai/blog/micro1-commits-1b-to-enterprise-data-acquisition ## micro1 vs SimpleClosure AssetHub https://licensethedata.com/compare/micro1-vs-simpleclosure-assethub/ — indexable: false Review state: pending For company-size screening, a 20–29 employee company falls below micro1’s published 30+ target. SimpleClosure AssetHub must be scoped against its own eligibility description; silence is not acceptance. For your existing records, start with category fit: micro1 lists SOPs, knowledge bases, CRM, projects, QA and internal processes; SimpleClosure AssetHub lists Startup workspace/code assets: Slack, email, Drive, Notion, Figma and project context. Ask each which subset has active demand before preparing exports. micro1: Payment timing not established; ask the provider. SimpleClosure AssetHub: Assessment often hours/days; not a payment deadline. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://www.micro1.ai/data-partnerships, https://www.micro1.ai/privacy-policy, https://www.micro1.ai/blog/micro1-commits-1b-to-enterprise-data-acquisition, https://simpleclosure.com/product/assethub, https://simpleclosure.com/blog/insights/what-your-assets-are-worth, https://www.upstartsmedia.com/p/exclusive-simpleclosure-data-what-ai-labs-buy ## micro1 vs Protege https://licensethedata.com/compare/micro1-vs-protege/ — indexable: false Review state: pending For company-size screening, a 20–29 employee company falls below micro1’s published 30+ target. Protege must be scoped against its own eligibility description; silence is not acceptance. For specialist healthcare or media rights, Protege's published categories and Gradient Health case are more relevant than ordinary CRM exports. micro1 lists SOPs, knowledge bases, CRM, projects, QA and internal processes. Do not extrapolate specialist case revenue to a small operating business. micro1: Payment timing not established; ask the provider. Protege: Active opportunities often fulfilled under a month; fulfillment is not seller payment timing. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://www.micro1.ai/data-partnerships, https://www.micro1.ai/privacy-policy, https://www.micro1.ai/blog/micro1-commits-1b-to-enterprise-data-acquisition, https://withprotege.ai/data-provider/other-domains, https://withprotege.ai/blog/gradient-health-and-protege-partner-to-bring-multi-modal-scale-and-data-diversity-to-healthcare-ai, https://gradienthealth.io/blog/gradient-health-partners-protege ## Defined.ai vs micro1 https://licensethedata.com/compare/defined-ai-vs-micro1/ — indexable: false Review state: pending For company-size screening, a 20–29 employee company falls below micro1’s published 30+ target. Defined.ai must be scoped against its own eligibility description; silence is not acceptance. If you already have a marketable data product, compare distribution rather than headline payouts: Defined.ai is managed marketplace, while micro1 is direct licensing. Listing or matching creates no purchase commitment; ask who actually signs and pays. Defined.ai: Four-stage onboarding; no fixed elapsed-time or payout commitment micro1: Payment timing not established; ask the provider. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://defined.ai/partnership-programs, https://defined.ai/supplier-program, https://defined.ai/candidate-privacy-statement, https://www.micro1.ai/data-partnerships, https://www.micro1.ai/privacy-policy, https://www.micro1.ai/blog/micro1-commits-1b-to-enterprise-data-acquisition ## Datarade vs micro1 https://licensethedata.com/compare/datarade-vs-micro1/ — indexable: false Review state: pending For company-size screening, a 20–29 employee company falls below micro1’s published 30+ target. Datarade must be scoped against its own eligibility description; silence is not acceptance. If you already have a marketable data product, compare distribution rather than headline payouts: Datarade is marketplace, while micro1 is direct licensing. Listing or matching creates no purchase commitment; ask who actually signs and pays. Datarade: 3-minute application; 1–2 business-day review claimed; no first-sale/payout SLA micro1: Payment timing not established; ask the provider. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://providers.datarade.ai/apply, https://datarade.ai/company, https://www.micro1.ai/data-partnerships, https://www.micro1.ai/privacy-policy, https://www.micro1.ai/blog/micro1-commits-1b-to-enterprise-data-acquisition ## micro1 vs Nomad Data https://licensethedata.com/compare/micro1-vs-nomad-data/ — indexable: false Review state: pending For company-size screening, a 20–29 employee company falls below micro1’s published 30+ target. Nomad Data must be scoped against its own eligibility description; silence is not acceptance. If you already have a marketable data product, compare distribution rather than headline payouts: micro1 is direct licensing, while Nomad Data is matching network. Listing or matching creates no purchase commitment; ask who actually signs and pays. micro1: Payment timing not established; ask the provider. Nomad Data: No buyer match, contract or payout SLA These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://www.micro1.ai/data-partnerships, https://www.micro1.ai/privacy-policy, https://www.micro1.ai/blog/micro1-commits-1b-to-enterprise-data-acquisition, https://www.nomad-data.com/data-sellers ## Mercor vs Troveo https://licensethedata.com/compare/mercor-vs-troveo/ — indexable: false Review state: pending If you prefer guided exports instead of connected-account access, Troveo explicitly avoids OAuth and integrations. Mercor describes: Scope → connect 100+ supported tools → extraction/de-identification → delivery/payment. If cash timing matters, Mercor publishes wire on buyer delivery, typically 2–4 weeks after signing. Troveo: Under a month from signed deal to first payout for in-demand datasets only; pre-signing diligence unquantified. Sources: https://www.mercor.com/data, https://www.mercor.com/privacy-notice, https://www.troveo.ai/business-data, https://www.troveo.ai/resources/how-long-to-license-company-data, https://www.troveo.ai/legal/privacy-policy ## Handshake AI vs Mercor https://licensethedata.com/compare/handshake-ai-vs-mercor/ — indexable: false Review state: pending If cash timing matters, Mercor publishes wire on buyer delivery, typically 2–4 weeks after signing. Handshake AI: No numerical end-to-end payout timeline verified. For your existing records, start with category fit: Handshake AI lists AutoCAD, Figma, Gmail, Drive, NetSuite, Notion, QuickBooks, ServiceTitan and Slack; Mercor lists Slack, Gmail, Salesforce, GitHub, Notion, contracts, clinical notes and QA logs. Ask each which subset has active demand before preparing exports. Sources: https://joinhandshake.com/ai/data-partnerships, https://joinhandshake.com/ai/data-partnerships/license, https://joinhandshake.com/privacy-policy, https://www.mercor.com/data, https://www.mercor.com/privacy-notice ## Appen vs Mercor https://licensethedata.com/compare/appen-vs-mercor/ — indexable: false Review state: pending If cash timing matters, Mercor publishes wire on buyer delivery, typically 2–4 weeks after signing. Appen: Payment on acceptance; two-business-day response is not a payout deadline. For your existing records, start with category fit: Appen lists SOPs, wikis, approval chains, support/ITSM/CRM, ERP, messaging, BI, contracts, HR/payroll; Mercor lists Slack, Gmail, Salesforce, GitHub, Notion, contracts, clinical notes and QA logs. Ask each which subset has active demand before preparing exports. Sources: https://www.appen.com/enterprise-data, https://www.mercor.com/data, https://www.mercor.com/privacy-notice ## Centific vs Mercor https://licensethedata.com/compare/centific-vs-mercor/ — indexable: false Review state: pending If cash timing matters, Mercor publishes wire on buyer delivery, typically 2–4 weeks after signing. Centific: Most partnerships reach first accepted contribution in 6–10 weeks; payment on acceptance. Acceptance estimate is not a payout SLA. For your existing records, start with category fit: Centific lists CRM, contracts, projects, email, finance, healthcare operations, HR, ITSM and warehouses; Mercor lists Slack, Gmail, Salesforce, GitHub, Notion, contracts, clinical notes and QA logs. Ask each which subset has active demand before preparing exports. Sources: https://www.centific.com/enterprise-data, https://www.centific.com/legal/legal-info, https://www.centific.com/company/locations, https://www.mercor.com/data, https://www.mercor.com/privacy-notice ## Mercor vs Replay https://licensethedata.com/compare/mercor-vs-replay/ — indexable: false Review state: pending If cash timing matters, Mercor publishes wire on buyer delivery, typically 2–4 weeks after signing. Replay: 120 minutes refers to seller effort, not payment speed; payout deadline not published. For your existing records, start with category fit: Mercor lists Slack, Gmail, Salesforce, GitHub, Notion, contracts, clinical notes and QA logs; Replay lists CRM, support, threads, code/commits, docs, financial records, presentations and product analytics. Ask each which subset has active demand before preparing exports. Sources: https://www.mercor.com/data, https://www.mercor.com/privacy-notice, https://www.replay.ai, https://www.replay.ai/terms, https://www.replay.ai/data-privacy ## Mercor vs Turing Project Lazarus https://licensethedata.com/compare/mercor-vs-turing-lazarus/ — indexable: false Review state: pending If cash timing matters, Mercor publishes wire on buyer delivery, typically 2–4 weeks after signing. Turing Project Lazarus: Intake call within one business day; valuation usually within a week of access. Neither is a payout deadline. For your existing records, start with category fit: Mercor lists Slack, Gmail, Salesforce, GitHub, Notion, contracts, clinical notes and QA logs; Turing Project Lazarus lists Communications, tickets, wikis, databases and code; code not required and not bought alone. Ask each which subset has active demand before preparing exports. Sources: https://www.mercor.com/data, https://www.mercor.com/privacy-notice, https://lazarus.turing.com ## Hookshot Data / Protege AI vs Mercor https://licensethedata.com/compare/hookshot-data-vs-mercor/ — indexable: false Review state: pending If cash timing matters, Mercor publishes wire on buyer delivery, typically 2–4 weeks after signing. Hookshot Data / Protege AI: null For ServiceNow resolution histories, Hookshot names a current fastest focus. Mercor lists Slack, Gmail, Salesforce, GitHub, Notion, contracts, clinical notes and QA logs. Broader categories do not establish current buyer demand. Sources: https://www.tryprotege.com/data-licensing, https://www.tryprotege.com/privacy-policy, https://www.mercor.com/data, https://www.mercor.com/privacy-notice ## Mercor vs SimpleClosure AssetHub https://licensethedata.com/compare/mercor-vs-simpleclosure-assethub/ — indexable: false Review state: pending If cash timing matters, Mercor publishes wire on buyer delivery, typically 2–4 weeks after signing. SimpleClosure AssetHub: Assessment often hours/days; not a payment deadline. For your existing records, start with category fit: Mercor lists Slack, Gmail, Salesforce, GitHub, Notion, contracts, clinical notes and QA logs; SimpleClosure AssetHub lists Startup workspace/code assets: Slack, email, Drive, Notion, Figma and project context. Ask each which subset has active demand before preparing exports. Sources: https://www.mercor.com/data, https://www.mercor.com/privacy-notice, https://simpleclosure.com/product/assethub, https://simpleclosure.com/blog/insights/what-your-assets-are-worth, https://www.upstartsmedia.com/p/exclusive-simpleclosure-data-what-ai-labs-buy ## Mercor vs Protege https://licensethedata.com/compare/mercor-vs-protege/ — indexable: false Review state: pending If cash timing matters, Mercor publishes wire on buyer delivery, typically 2–4 weeks after signing. Protege: Active opportunities often fulfilled under a month; fulfillment is not seller payment timing. For specialist healthcare or media rights, Protege's published categories and Gradient Health case are more relevant than ordinary CRM exports. Mercor lists Slack, Gmail, Salesforce, GitHub, Notion, contracts, clinical notes and QA logs. Do not extrapolate specialist case revenue to a small operating business. Sources: https://www.mercor.com/data, https://www.mercor.com/privacy-notice, https://withprotege.ai/data-provider/other-domains, https://withprotege.ai/blog/gradient-health-and-protege-partner-to-bring-multi-modal-scale-and-data-diversity-to-healthcare-ai, https://gradienthealth.io/blog/gradient-health-partners-protege ## Defined.ai vs Mercor https://licensethedata.com/compare/defined-ai-vs-mercor/ — indexable: false Review state: pending If cash timing matters, Mercor publishes wire on buyer delivery, typically 2–4 weeks after signing. Defined.ai: Four-stage onboarding; no fixed elapsed-time or payout commitment If you already have a marketable data product, compare distribution rather than headline payouts: Defined.ai is managed marketplace, while Mercor is direct licensing. Listing or matching creates no purchase commitment; ask who actually signs and pays. Sources: https://defined.ai/partnership-programs, https://defined.ai/supplier-program, https://defined.ai/candidate-privacy-statement, https://www.mercor.com/data, https://www.mercor.com/privacy-notice ## Datarade vs Mercor https://licensethedata.com/compare/datarade-vs-mercor/ — indexable: false Review state: pending If cash timing matters, Mercor publishes wire on buyer delivery, typically 2–4 weeks after signing. Datarade: 3-minute application; 1–2 business-day review claimed; no first-sale/payout SLA If you already have a marketable data product, compare distribution rather than headline payouts: Datarade is marketplace, while Mercor is direct licensing. Listing or matching creates no purchase commitment; ask who actually signs and pays. Sources: https://providers.datarade.ai/apply, https://datarade.ai/company, https://www.mercor.com/data, https://www.mercor.com/privacy-notice ## Mercor vs Nomad Data https://licensethedata.com/compare/mercor-vs-nomad-data/ — indexable: false Review state: pending If cash timing matters, Mercor publishes wire on buyer delivery, typically 2–4 weeks after signing. Nomad Data: No buyer match, contract or payout SLA If you already have a marketable data product, compare distribution rather than headline payouts: Mercor is direct licensing, while Nomad Data is matching network. Listing or matching creates no purchase commitment; ask who actually signs and pays. Sources: https://www.mercor.com/data, https://www.mercor.com/privacy-notice, https://www.nomad-data.com/data-sellers ## Handshake AI vs Troveo https://licensethedata.com/compare/handshake-ai-vs-troveo/ — indexable: false Review state: pending If you prefer guided exports instead of connected-account access, Troveo explicitly avoids OAuth and integrations. Handshake AI describes: Intake → scoping call → existing data transfer → cleaning → confidential lab delivery. For your existing records, start with category fit: Handshake AI lists AutoCAD, Figma, Gmail, Drive, NetSuite, Notion, QuickBooks, ServiceTitan and Slack; Troveo lists Full chat/email threads, versioned docs, CRM histories, tickets, finance, HR, warehouses and code. Ask each which subset has active demand before preparing exports. Handshake AI: No numerical end-to-end payout timeline verified. Troveo: Under a month from signed deal to first payout for in-demand datasets only; pre-signing diligence unquantified. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://joinhandshake.com/ai/data-partnerships, https://joinhandshake.com/ai/data-partnerships/license, https://joinhandshake.com/privacy-policy, https://www.troveo.ai/business-data, https://www.troveo.ai/resources/how-long-to-license-company-data, https://www.troveo.ai/legal/privacy-policy ## Appen vs Troveo https://licensethedata.com/compare/appen-vs-troveo/ — indexable: false Review state: pending If you prefer guided exports instead of connected-account access, Troveo explicitly avoids OAuth and integrations. Appen describes: Register → NDA → written scope → extraction → representative sample sign-off → license. For your existing records, start with category fit: Appen lists SOPs, wikis, approval chains, support/ITSM/CRM, ERP, messaging, BI, contracts, HR/payroll; Troveo lists Full chat/email threads, versioned docs, CRM histories, tickets, finance, HR, warehouses and code. Ask each which subset has active demand before preparing exports. Appen: Payment on acceptance; two-business-day response is not a payout deadline. Troveo: Under a month from signed deal to first payout for in-demand datasets only; pre-signing diligence unquantified. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://www.appen.com/enterprise-data, https://www.troveo.ai/business-data, https://www.troveo.ai/resources/how-long-to-license-company-data, https://www.troveo.ai/legal/privacy-policy ## Centific vs Troveo https://licensethedata.com/compare/centific-vs-troveo/ — indexable: false Review state: pending If you prefer guided exports instead of connected-account access, Troveo explicitly avoids OAuth and integrations. Centific describes: Estimate → scoped connections (188 applications) → extraction → anonymization → sample approval → acceptance; optional quarterly refresh. For your existing records, start with category fit: Centific lists CRM, contracts, projects, email, finance, healthcare operations, HR, ITSM and warehouses; Troveo lists Full chat/email threads, versioned docs, CRM histories, tickets, finance, HR, warehouses and code. Ask each which subset has active demand before preparing exports. Centific: Most partnerships reach first accepted contribution in 6–10 weeks; payment on acceptance. Acceptance estimate is not a payout SLA. Troveo: Under a month from signed deal to first payout for in-demand datasets only; pre-signing diligence unquantified. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://www.centific.com/enterprise-data, https://www.centific.com/legal/legal-info, https://www.centific.com/company/locations, https://www.troveo.ai/business-data, https://www.troveo.ai/resources/how-long-to-license-company-data, https://www.troveo.ai/legal/privacy-policy ## Replay vs Troveo https://licensethedata.com/compare/replay-vs-troveo/ — indexable: false Review state: pending If you prefer guided exports instead of connected-account access, Troveo explicitly avoids OAuth and integrations. Replay describes: Value → offer → export/de-identify → payout. For your existing records, start with category fit: Replay lists CRM, support, threads, code/commits, docs, financial records, presentations and product analytics; Troveo lists Full chat/email threads, versioned docs, CRM histories, tickets, finance, HR, warehouses and code. Ask each which subset has active demand before preparing exports. Replay: 120 minutes refers to seller effort, not payment speed; payout deadline not published. Troveo: Under a month from signed deal to first payout for in-demand datasets only; pre-signing diligence unquantified. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://www.replay.ai, https://www.replay.ai/terms, https://www.replay.ai/data-privacy, https://www.troveo.ai/business-data, https://www.troveo.ai/resources/how-long-to-license-company-data, https://www.troveo.ai/legal/privacy-policy ## Troveo vs Turing Project Lazarus https://licensethedata.com/compare/troveo-vs-turing-lazarus/ — indexable: false Review state: pending If you prefer guided exports instead of connected-account access, Troveo explicitly avoids OAuth and integrations. Turing Project Lazarus describes: NDA → intake → representative sampling/valuation → one contract. For your existing records, start with category fit: Troveo lists Full chat/email threads, versioned docs, CRM histories, tickets, finance, HR, warehouses and code; Turing Project Lazarus lists Communications, tickets, wikis, databases and code; code not required and not bought alone. Ask each which subset has active demand before preparing exports. Troveo: Under a month from signed deal to first payout for in-demand datasets only; pre-signing diligence unquantified. Turing Project Lazarus: Intake call within one business day; valuation usually within a week of access. Neither is a payout deadline. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://www.troveo.ai/business-data, https://www.troveo.ai/resources/how-long-to-license-company-data, https://www.troveo.ai/legal/privacy-policy, https://lazarus.turing.com ## Hookshot Data / Protege AI vs Troveo https://licensethedata.com/compare/hookshot-data-vs-troveo/ — indexable: false Review state: pending If you prefer guided exports instead of connected-account access, Troveo explicitly avoids OAuth and integrations. Hookshot Data / Protege AI describes: Scope → preparation/anonymization → RL environments → disclosed buyer match/pay. For ServiceNow resolution histories, Hookshot names a current fastest focus. Troveo lists Full chat/email threads, versioned docs, CRM histories, tickets, finance, HR, warehouses and code. Broader categories do not establish current buyer demand. Hookshot Data / Protege AI: Payment timing not established; ask the provider. Troveo: Under a month from signed deal to first payout for in-demand datasets only; pre-signing diligence unquantified. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://www.tryprotege.com/data-licensing, https://www.tryprotege.com/privacy-policy, https://www.troveo.ai/business-data, https://www.troveo.ai/resources/how-long-to-license-company-data, https://www.troveo.ai/legal/privacy-policy ## SimpleClosure AssetHub vs Troveo https://licensethedata.com/compare/simpleclosure-assethub-vs-troveo/ — indexable: false Review state: pending If you prefer guided exports instead of connected-account access, Troveo explicitly avoids OAuth and integrations. SimpleClosure AssetHub describes: Submit assets → viability assessment → buyer match → sale/license. For your existing records, start with category fit: SimpleClosure AssetHub lists Startup workspace/code assets: Slack, email, Drive, Notion, Figma and project context; Troveo lists Full chat/email threads, versioned docs, CRM histories, tickets, finance, HR, warehouses and code. Ask each which subset has active demand before preparing exports. SimpleClosure AssetHub: Assessment often hours/days; not a payment deadline. Troveo: Under a month from signed deal to first payout for in-demand datasets only; pre-signing diligence unquantified. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://simpleclosure.com/product/assethub, https://simpleclosure.com/blog/insights/what-your-assets-are-worth, https://www.upstartsmedia.com/p/exclusive-simpleclosure-data-what-ai-labs-buy, https://www.troveo.ai/business-data, https://www.troveo.ai/resources/how-long-to-license-company-data, https://www.troveo.ai/legal/privacy-policy ## Protege vs Troveo https://licensethedata.com/compare/protege-vs-troveo/ — indexable: false Review state: pending If you prefer guided exports instead of connected-account access, Troveo explicitly avoids OAuth and integrations. Protege describes: Discovery → revenue-share agreement → curate/QA/mask → qualified deal → revenue-share payment. For specialist healthcare or media rights, Protege's published categories and Gradient Health case are more relevant than ordinary CRM exports. Troveo lists Full chat/email threads, versioned docs, CRM histories, tickets, finance, HR, warehouses and code. Do not extrapolate specialist case revenue to a small operating business. Protege: Active opportunities often fulfilled under a month; fulfillment is not seller payment timing. Troveo: Under a month from signed deal to first payout for in-demand datasets only; pre-signing diligence unquantified. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://withprotege.ai/data-provider/other-domains, https://withprotege.ai/blog/gradient-health-and-protege-partner-to-bring-multi-modal-scale-and-data-diversity-to-healthcare-ai, https://gradienthealth.io/blog/gradient-health-partners-protege, https://www.troveo.ai/business-data, https://www.troveo.ai/resources/how-long-to-license-company-data, https://www.troveo.ai/legal/privacy-policy ## Defined.ai vs Troveo https://licensethedata.com/compare/defined-ai-vs-troveo/ — indexable: false Review state: pending If you prefer guided exports instead of connected-account access, Troveo explicitly avoids OAuth and integrations. Defined.ai describes: Apply as Data Partner via Jira portal; login needed If you already have a marketable data product, compare distribution rather than headline payouts: Defined.ai is managed marketplace, while Troveo is managed intermediary. Listing or matching creates no purchase commitment; ask who actually signs and pays. Defined.ai: Four-stage onboarding; no fixed elapsed-time or payout commitment Troveo: Under a month from signed deal to first payout for in-demand datasets only; pre-signing diligence unquantified. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://defined.ai/partnership-programs, https://defined.ai/supplier-program, https://defined.ai/candidate-privacy-statement, https://www.troveo.ai/business-data, https://www.troveo.ai/resources/how-long-to-license-company-data, https://www.troveo.ai/legal/privacy-policy ## Datarade vs Troveo https://licensethedata.com/compare/datarade-vs-troveo/ — indexable: false Review state: pending If you prefer guided exports instead of connected-account access, Troveo explicitly avoids OAuth and integrations. Datarade describes: Provider Studio application If you already have a marketable data product, compare distribution rather than headline payouts: Datarade is marketplace, while Troveo is managed intermediary. Listing or matching creates no purchase commitment; ask who actually signs and pays. Datarade: 3-minute application; 1–2 business-day review claimed; no first-sale/payout SLA Troveo: Under a month from signed deal to first payout for in-demand datasets only; pre-signing diligence unquantified. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://providers.datarade.ai/apply, https://datarade.ai/company, https://www.troveo.ai/business-data, https://www.troveo.ai/resources/how-long-to-license-company-data, https://www.troveo.ai/legal/privacy-policy ## Nomad Data vs Troveo https://licensethedata.com/compare/nomad-data-vs-troveo/ — indexable: false Review state: pending If you prefer guided exports instead of connected-account access, Troveo explicitly avoids OAuth and integrations. Nomad Data describes: Data Sellers / seller connection route If you already have a marketable data product, compare distribution rather than headline payouts: Nomad Data is matching network, while Troveo is managed intermediary. Listing or matching creates no purchase commitment; ask who actually signs and pays. Nomad Data: No buyer match, contract or payout SLA Troveo: Under a month from signed deal to first payout for in-demand datasets only; pre-signing diligence unquantified. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://www.nomad-data.com/data-sellers, https://www.troveo.ai/business-data, https://www.troveo.ai/resources/how-long-to-license-company-data, https://www.troveo.ai/legal/privacy-policy ## Appen vs Handshake AI https://licensethedata.com/compare/appen-vs-handshake-ai/ — indexable: false Review state: pending For your existing records, start with category fit: Appen lists SOPs, wikis, approval chains, support/ITSM/CRM, ERP, messaging, BI, contracts, HR/payroll; Handshake AI lists AutoCAD, Figma, Gmail, Drive, NetSuite, Notion, QuickBooks, ServiceTitan and Slack. Ask each which subset has active demand before preparing exports. Appen: Payment on acceptance; two-business-day response is not a payout deadline. Handshake AI: No numerical end-to-end payout timeline verified. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://www.appen.com/enterprise-data, https://joinhandshake.com/ai/data-partnerships, https://joinhandshake.com/ai/data-partnerships/license, https://joinhandshake.com/privacy-policy ## Centific vs Handshake AI https://licensethedata.com/compare/centific-vs-handshake-ai/ — indexable: false Review state: pending For your existing records, start with category fit: Centific lists CRM, contracts, projects, email, finance, healthcare operations, HR, ITSM and warehouses; Handshake AI lists AutoCAD, Figma, Gmail, Drive, NetSuite, Notion, QuickBooks, ServiceTitan and Slack. Ask each which subset has active demand before preparing exports. Centific: Most partnerships reach first accepted contribution in 6–10 weeks; payment on acceptance. Acceptance estimate is not a payout SLA. Handshake AI: No numerical end-to-end payout timeline verified. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://www.centific.com/enterprise-data, https://www.centific.com/legal/legal-info, https://www.centific.com/company/locations, https://joinhandshake.com/ai/data-partnerships, https://joinhandshake.com/ai/data-partnerships/license, https://joinhandshake.com/privacy-policy ## Handshake AI vs Replay https://licensethedata.com/compare/handshake-ai-vs-replay/ — indexable: false Review state: pending For your existing records, start with category fit: Handshake AI lists AutoCAD, Figma, Gmail, Drive, NetSuite, Notion, QuickBooks, ServiceTitan and Slack; Replay lists CRM, support, threads, code/commits, docs, financial records, presentations and product analytics. Ask each which subset has active demand before preparing exports. Handshake AI: No numerical end-to-end payout timeline verified. Replay: 120 minutes refers to seller effort, not payment speed; payout deadline not published. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://joinhandshake.com/ai/data-partnerships, https://joinhandshake.com/ai/data-partnerships/license, https://joinhandshake.com/privacy-policy, https://www.replay.ai, https://www.replay.ai/terms, https://www.replay.ai/data-privacy ## Handshake AI vs Turing Project Lazarus https://licensethedata.com/compare/handshake-ai-vs-turing-lazarus/ — indexable: false Review state: pending For your existing records, start with category fit: Handshake AI lists AutoCAD, Figma, Gmail, Drive, NetSuite, Notion, QuickBooks, ServiceTitan and Slack; Turing Project Lazarus lists Communications, tickets, wikis, databases and code; code not required and not bought alone. Ask each which subset has active demand before preparing exports. Handshake AI: No numerical end-to-end payout timeline verified. Turing Project Lazarus: Intake call within one business day; valuation usually within a week of access. Neither is a payout deadline. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://joinhandshake.com/ai/data-partnerships, https://joinhandshake.com/ai/data-partnerships/license, https://joinhandshake.com/privacy-policy, https://lazarus.turing.com ## Handshake AI vs Hookshot Data / Protege AI https://licensethedata.com/compare/handshake-ai-vs-hookshot-data/ — indexable: false Review state: pending For ServiceNow resolution histories, Hookshot names a current fastest focus. Handshake AI lists AutoCAD, Figma, Gmail, Drive, NetSuite, Notion, QuickBooks, ServiceTitan and Slack. Broader categories do not establish current buyer demand. For your existing records, start with category fit: Handshake AI lists AutoCAD, Figma, Gmail, Drive, NetSuite, Notion, QuickBooks, ServiceTitan and Slack; Hookshot Data / Protege AI lists ServiceNow ITSM resolutions (current fastest focus), SOPs, CRM, incidents, engineering reviews, finance and wikis. Ask each which subset has active demand before preparing exports. Handshake AI: No numerical end-to-end payout timeline verified. Hookshot Data / Protege AI: Payment timing not established; ask the provider. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://joinhandshake.com/ai/data-partnerships, https://joinhandshake.com/ai/data-partnerships/license, https://joinhandshake.com/privacy-policy, https://www.tryprotege.com/data-licensing, https://www.tryprotege.com/privacy-policy ## Handshake AI vs SimpleClosure AssetHub https://licensethedata.com/compare/handshake-ai-vs-simpleclosure-assethub/ — indexable: false Review state: pending For your existing records, start with category fit: Handshake AI lists AutoCAD, Figma, Gmail, Drive, NetSuite, Notion, QuickBooks, ServiceTitan and Slack; SimpleClosure AssetHub lists Startup workspace/code assets: Slack, email, Drive, Notion, Figma and project context. Ask each which subset has active demand before preparing exports. Handshake AI: No numerical end-to-end payout timeline verified. SimpleClosure AssetHub: Assessment often hours/days; not a payment deadline. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://joinhandshake.com/ai/data-partnerships, https://joinhandshake.com/ai/data-partnerships/license, https://joinhandshake.com/privacy-policy, https://simpleclosure.com/product/assethub, https://simpleclosure.com/blog/insights/what-your-assets-are-worth, https://www.upstartsmedia.com/p/exclusive-simpleclosure-data-what-ai-labs-buy ## Handshake AI vs Protege https://licensethedata.com/compare/handshake-ai-vs-protege/ — indexable: false Review state: pending For specialist healthcare or media rights, Protege's published categories and Gradient Health case are more relevant than ordinary CRM exports. Handshake AI lists AutoCAD, Figma, Gmail, Drive, NetSuite, Notion, QuickBooks, ServiceTitan and Slack. Do not extrapolate specialist case revenue to a small operating business. For your existing records, start with category fit: Handshake AI lists AutoCAD, Figma, Gmail, Drive, NetSuite, Notion, QuickBooks, ServiceTitan and Slack; Protege lists Healthcare, video, audio/speech, spatial/physical and other domains; generic CRM/SOP archives not explicitly enumerated. Ask each which subset has active demand before preparing exports. Handshake AI: No numerical end-to-end payout timeline verified. Protege: Active opportunities often fulfilled under a month; fulfillment is not seller payment timing. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://joinhandshake.com/ai/data-partnerships, https://joinhandshake.com/ai/data-partnerships/license, https://joinhandshake.com/privacy-policy, https://withprotege.ai/data-provider/other-domains, https://withprotege.ai/blog/gradient-health-and-protege-partner-to-bring-multi-modal-scale-and-data-diversity-to-healthcare-ai, https://gradienthealth.io/blog/gradient-health-partners-protege ## Defined.ai vs Handshake AI https://licensethedata.com/compare/defined-ai-vs-handshake-ai/ — indexable: false Review state: pending If you already have a marketable data product, compare distribution rather than headline payouts: Defined.ai is managed marketplace, while Handshake AI is direct licensing. Listing or matching creates no purchase commitment; ask who actually signs and pays. For your existing records, start with category fit: Defined.ai lists Audio/video/images/text/multimodal; sales, stock, shipping, code, STEM, cinematic/anime; Handshake AI lists AutoCAD, Figma, Gmail, Drive, NetSuite, Notion, QuickBooks, ServiceTitan and Slack. Ask each which subset has active demand before preparing exports. Defined.ai: Four-stage onboarding; no fixed elapsed-time or payout commitment Handshake AI: No numerical end-to-end payout timeline verified. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://defined.ai/partnership-programs, https://defined.ai/supplier-program, https://defined.ai/candidate-privacy-statement, https://joinhandshake.com/ai/data-partnerships, https://joinhandshake.com/ai/data-partnerships/license, https://joinhandshake.com/privacy-policy ## Datarade vs Handshake AI https://licensethedata.com/compare/datarade-vs-handshake-ai/ — indexable: false Review state: pending If you already have a marketable data product, compare distribution rather than headline payouts: Datarade is marketplace, while Handshake AI is direct licensing. Listing or matching creates no purchase commitment; ask who actually signs and pays. For your existing records, start with category fit: Datarade lists Broad dataset categories and AI-ready data products; Handshake AI lists AutoCAD, Figma, Gmail, Drive, NetSuite, Notion, QuickBooks, ServiceTitan and Slack. Ask each which subset has active demand before preparing exports. Datarade: 3-minute application; 1–2 business-day review claimed; no first-sale/payout SLA Handshake AI: No numerical end-to-end payout timeline verified. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://providers.datarade.ai/apply, https://datarade.ai/company, https://joinhandshake.com/ai/data-partnerships, https://joinhandshake.com/ai/data-partnerships/license, https://joinhandshake.com/privacy-policy ## Handshake AI vs Nomad Data https://licensethedata.com/compare/handshake-ai-vs-nomad-data/ — indexable: false Review state: pending If you already have a marketable data product, compare distribution rather than headline payouts: Handshake AI is direct licensing, while Nomad Data is matching network. Listing or matching creates no purchase commitment; ask who actually signs and pays. For your existing records, start with category fit: Handshake AI lists AutoCAD, Figma, Gmail, Drive, NetSuite, Notion, QuickBooks, ServiceTitan and Slack; Nomad Data lists General commercial datasets and expertise. Ask each which subset has active demand before preparing exports. Handshake AI: No numerical end-to-end payout timeline verified. Nomad Data: No buyer match, contract or payout SLA These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://joinhandshake.com/ai/data-partnerships, https://joinhandshake.com/ai/data-partnerships/license, https://joinhandshake.com/privacy-policy, https://www.nomad-data.com/data-sellers ## Appen vs Centific https://licensethedata.com/compare/appen-vs-centific/ — indexable: false Review state: pending For a business deciding when staff need to be available, Appen promises a two-business-day response, whereas Centific estimates 6–10 weeks to the first accepted contribution. These are not equivalent payout deadlines: both describe payment on acceptance, and the agreement must define the acceptance/payment interval. For your existing records, start with category fit: Appen lists SOPs, wikis, approval chains, support/ITSM/CRM, ERP, messaging, BI, contracts, HR/payroll; Centific lists CRM, contracts, projects, email, finance, healthcare operations, HR, ITSM and warehouses. Ask each which subset has active demand before preparing exports. Sources: https://www.appen.com/enterprise-data, https://www.centific.com/enterprise-data, https://www.centific.com/legal/legal-info, https://www.centific.com/company/locations ## Appen vs Replay https://licensethedata.com/compare/appen-vs-replay/ — indexable: false Review state: pending For your existing records, start with category fit: Appen lists SOPs, wikis, approval chains, support/ITSM/CRM, ERP, messaging, BI, contracts, HR/payroll; Replay lists CRM, support, threads, code/commits, docs, financial records, presentations and product analytics. Ask each which subset has active demand before preparing exports. Appen: Payment on acceptance; two-business-day response is not a payout deadline. Replay: 120 minutes refers to seller effort, not payment speed; payout deadline not published. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://www.appen.com/enterprise-data, https://www.replay.ai, https://www.replay.ai/terms, https://www.replay.ai/data-privacy ## Appen vs Turing Project Lazarus https://licensethedata.com/compare/appen-vs-turing-lazarus/ — indexable: false Review state: pending For your existing records, start with category fit: Appen lists SOPs, wikis, approval chains, support/ITSM/CRM, ERP, messaging, BI, contracts, HR/payroll; Turing Project Lazarus lists Communications, tickets, wikis, databases and code; code not required and not bought alone. Ask each which subset has active demand before preparing exports. Appen: Payment on acceptance; two-business-day response is not a payout deadline. Turing Project Lazarus: Intake call within one business day; valuation usually within a week of access. Neither is a payout deadline. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://www.appen.com/enterprise-data, https://lazarus.turing.com ## Appen vs Hookshot Data / Protege AI https://licensethedata.com/compare/appen-vs-hookshot-data/ — indexable: false Review state: pending For ServiceNow resolution histories, Hookshot names a current fastest focus. Appen lists SOPs, wikis, approval chains, support/ITSM/CRM, ERP, messaging, BI, contracts, HR/payroll. Broader categories do not establish current buyer demand. For your existing records, start with category fit: Appen lists SOPs, wikis, approval chains, support/ITSM/CRM, ERP, messaging, BI, contracts, HR/payroll; Hookshot Data / Protege AI lists ServiceNow ITSM resolutions (current fastest focus), SOPs, CRM, incidents, engineering reviews, finance and wikis. Ask each which subset has active demand before preparing exports. Appen: Payment on acceptance; two-business-day response is not a payout deadline. Hookshot Data / Protege AI: Payment timing not established; ask the provider. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://www.appen.com/enterprise-data, https://www.tryprotege.com/data-licensing, https://www.tryprotege.com/privacy-policy ## Appen vs SimpleClosure AssetHub https://licensethedata.com/compare/appen-vs-simpleclosure-assethub/ — indexable: false Review state: pending For your existing records, start with category fit: Appen lists SOPs, wikis, approval chains, support/ITSM/CRM, ERP, messaging, BI, contracts, HR/payroll; SimpleClosure AssetHub lists Startup workspace/code assets: Slack, email, Drive, Notion, Figma and project context. Ask each which subset has active demand before preparing exports. Appen: Payment on acceptance; two-business-day response is not a payout deadline. SimpleClosure AssetHub: Assessment often hours/days; not a payment deadline. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://www.appen.com/enterprise-data, https://simpleclosure.com/product/assethub, https://simpleclosure.com/blog/insights/what-your-assets-are-worth, https://www.upstartsmedia.com/p/exclusive-simpleclosure-data-what-ai-labs-buy ## Appen vs Protege https://licensethedata.com/compare/appen-vs-protege/ — indexable: false Review state: pending For specialist healthcare or media rights, Protege's published categories and Gradient Health case are more relevant than ordinary CRM exports. Appen lists SOPs, wikis, approval chains, support/ITSM/CRM, ERP, messaging, BI, contracts, HR/payroll. Do not extrapolate specialist case revenue to a small operating business. For your existing records, start with category fit: Appen lists SOPs, wikis, approval chains, support/ITSM/CRM, ERP, messaging, BI, contracts, HR/payroll; Protege lists Healthcare, video, audio/speech, spatial/physical and other domains; generic CRM/SOP archives not explicitly enumerated. Ask each which subset has active demand before preparing exports. Appen: Payment on acceptance; two-business-day response is not a payout deadline. Protege: Active opportunities often fulfilled under a month; fulfillment is not seller payment timing. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://www.appen.com/enterprise-data, https://withprotege.ai/data-provider/other-domains, https://withprotege.ai/blog/gradient-health-and-protege-partner-to-bring-multi-modal-scale-and-data-diversity-to-healthcare-ai, https://gradienthealth.io/blog/gradient-health-partners-protege ## Appen vs Defined.ai https://licensethedata.com/compare/appen-vs-defined-ai/ — indexable: false Review state: pending If you already have a marketable data product, compare distribution rather than headline payouts: Appen is direct licensing, while Defined.ai is managed marketplace. Listing or matching creates no purchase commitment; ask who actually signs and pays. For your existing records, start with category fit: Appen lists SOPs, wikis, approval chains, support/ITSM/CRM, ERP, messaging, BI, contracts, HR/payroll; Defined.ai lists Audio/video/images/text/multimodal; sales, stock, shipping, code, STEM, cinematic/anime. Ask each which subset has active demand before preparing exports. Appen: Payment on acceptance; two-business-day response is not a payout deadline. Defined.ai: Four-stage onboarding; no fixed elapsed-time or payout commitment These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://www.appen.com/enterprise-data, https://defined.ai/partnership-programs, https://defined.ai/supplier-program, https://defined.ai/candidate-privacy-statement ## Appen vs Datarade https://licensethedata.com/compare/appen-vs-datarade/ — indexable: false Review state: pending If you already have a marketable data product, compare distribution rather than headline payouts: Appen is direct licensing, while Datarade is marketplace. Listing or matching creates no purchase commitment; ask who actually signs and pays. For your existing records, start with category fit: Appen lists SOPs, wikis, approval chains, support/ITSM/CRM, ERP, messaging, BI, contracts, HR/payroll; Datarade lists Broad dataset categories and AI-ready data products. Ask each which subset has active demand before preparing exports. Appen: Payment on acceptance; two-business-day response is not a payout deadline. Datarade: 3-minute application; 1–2 business-day review claimed; no first-sale/payout SLA These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://www.appen.com/enterprise-data, https://providers.datarade.ai/apply, https://datarade.ai/company ## Appen vs Nomad Data https://licensethedata.com/compare/appen-vs-nomad-data/ — indexable: false Review state: pending If you already have a marketable data product, compare distribution rather than headline payouts: Appen is direct licensing, while Nomad Data is matching network. Listing or matching creates no purchase commitment; ask who actually signs and pays. For your existing records, start with category fit: Appen lists SOPs, wikis, approval chains, support/ITSM/CRM, ERP, messaging, BI, contracts, HR/payroll; Nomad Data lists General commercial datasets and expertise. Ask each which subset has active demand before preparing exports. Appen: Payment on acceptance; two-business-day response is not a payout deadline. Nomad Data: No buyer match, contract or payout SLA These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://www.appen.com/enterprise-data, https://www.nomad-data.com/data-sellers ## Centific vs Replay https://licensethedata.com/compare/centific-vs-replay/ — indexable: false Review state: pending For your existing records, start with category fit: Centific lists CRM, contracts, projects, email, finance, healthcare operations, HR, ITSM and warehouses; Replay lists CRM, support, threads, code/commits, docs, financial records, presentations and product analytics. Ask each which subset has active demand before preparing exports. Centific: Most partnerships reach first accepted contribution in 6–10 weeks; payment on acceptance. Acceptance estimate is not a payout SLA. Replay: 120 minutes refers to seller effort, not payment speed; payout deadline not published. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://www.centific.com/enterprise-data, https://www.centific.com/legal/legal-info, https://www.centific.com/company/locations, https://www.replay.ai, https://www.replay.ai/terms, https://www.replay.ai/data-privacy ## Centific vs Turing Project Lazarus https://licensethedata.com/compare/centific-vs-turing-lazarus/ — indexable: false Review state: pending For your existing records, start with category fit: Centific lists CRM, contracts, projects, email, finance, healthcare operations, HR, ITSM and warehouses; Turing Project Lazarus lists Communications, tickets, wikis, databases and code; code not required and not bought alone. Ask each which subset has active demand before preparing exports. Centific: Most partnerships reach first accepted contribution in 6–10 weeks; payment on acceptance. Acceptance estimate is not a payout SLA. Turing Project Lazarus: Intake call within one business day; valuation usually within a week of access. Neither is a payout deadline. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://www.centific.com/enterprise-data, https://www.centific.com/legal/legal-info, https://www.centific.com/company/locations, https://lazarus.turing.com ## Centific vs Hookshot Data / Protege AI https://licensethedata.com/compare/centific-vs-hookshot-data/ — indexable: false Review state: pending For ServiceNow resolution histories, Hookshot names a current fastest focus. Centific lists CRM, contracts, projects, email, finance, healthcare operations, HR, ITSM and warehouses. Broader categories do not establish current buyer demand. For your existing records, start with category fit: Centific lists CRM, contracts, projects, email, finance, healthcare operations, HR, ITSM and warehouses; Hookshot Data / Protege AI lists ServiceNow ITSM resolutions (current fastest focus), SOPs, CRM, incidents, engineering reviews, finance and wikis. Ask each which subset has active demand before preparing exports. Centific: Most partnerships reach first accepted contribution in 6–10 weeks; payment on acceptance. Acceptance estimate is not a payout SLA. Hookshot Data / Protege AI: Payment timing not established; ask the provider. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://www.centific.com/enterprise-data, https://www.centific.com/legal/legal-info, https://www.centific.com/company/locations, https://www.tryprotege.com/data-licensing, https://www.tryprotege.com/privacy-policy ## Centific vs SimpleClosure AssetHub https://licensethedata.com/compare/centific-vs-simpleclosure-assethub/ — indexable: false Review state: pending For your existing records, start with category fit: Centific lists CRM, contracts, projects, email, finance, healthcare operations, HR, ITSM and warehouses; SimpleClosure AssetHub lists Startup workspace/code assets: Slack, email, Drive, Notion, Figma and project context. Ask each which subset has active demand before preparing exports. Centific: Most partnerships reach first accepted contribution in 6–10 weeks; payment on acceptance. Acceptance estimate is not a payout SLA. SimpleClosure AssetHub: Assessment often hours/days; not a payment deadline. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://www.centific.com/enterprise-data, https://www.centific.com/legal/legal-info, https://www.centific.com/company/locations, https://simpleclosure.com/product/assethub, https://simpleclosure.com/blog/insights/what-your-assets-are-worth, https://www.upstartsmedia.com/p/exclusive-simpleclosure-data-what-ai-labs-buy ## Centific vs Protege https://licensethedata.com/compare/centific-vs-protege/ — indexable: false Review state: pending For specialist healthcare or media rights, Protege's published categories and Gradient Health case are more relevant than ordinary CRM exports. Centific lists CRM, contracts, projects, email, finance, healthcare operations, HR, ITSM and warehouses. Do not extrapolate specialist case revenue to a small operating business. For your existing records, start with category fit: Centific lists CRM, contracts, projects, email, finance, healthcare operations, HR, ITSM and warehouses; Protege lists Healthcare, video, audio/speech, spatial/physical and other domains; generic CRM/SOP archives not explicitly enumerated. Ask each which subset has active demand before preparing exports. Centific: Most partnerships reach first accepted contribution in 6–10 weeks; payment on acceptance. Acceptance estimate is not a payout SLA. Protege: Active opportunities often fulfilled under a month; fulfillment is not seller payment timing. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://www.centific.com/enterprise-data, https://www.centific.com/legal/legal-info, https://www.centific.com/company/locations, https://withprotege.ai/data-provider/other-domains, https://withprotege.ai/blog/gradient-health-and-protege-partner-to-bring-multi-modal-scale-and-data-diversity-to-healthcare-ai, https://gradienthealth.io/blog/gradient-health-partners-protege ## Centific vs Defined.ai https://licensethedata.com/compare/centific-vs-defined-ai/ — indexable: false Review state: pending If you already have a marketable data product, compare distribution rather than headline payouts: Centific is direct licensing, while Defined.ai is managed marketplace. Listing or matching creates no purchase commitment; ask who actually signs and pays. For your existing records, start with category fit: Centific lists CRM, contracts, projects, email, finance, healthcare operations, HR, ITSM and warehouses; Defined.ai lists Audio/video/images/text/multimodal; sales, stock, shipping, code, STEM, cinematic/anime. Ask each which subset has active demand before preparing exports. Centific: Most partnerships reach first accepted contribution in 6–10 weeks; payment on acceptance. Acceptance estimate is not a payout SLA. Defined.ai: Four-stage onboarding; no fixed elapsed-time or payout commitment These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://www.centific.com/enterprise-data, https://www.centific.com/legal/legal-info, https://www.centific.com/company/locations, https://defined.ai/partnership-programs, https://defined.ai/supplier-program, https://defined.ai/candidate-privacy-statement ## Centific vs Datarade https://licensethedata.com/compare/centific-vs-datarade/ — indexable: false Review state: pending If you already have a marketable data product, compare distribution rather than headline payouts: Centific is direct licensing, while Datarade is marketplace. Listing or matching creates no purchase commitment; ask who actually signs and pays. For your existing records, start with category fit: Centific lists CRM, contracts, projects, email, finance, healthcare operations, HR, ITSM and warehouses; Datarade lists Broad dataset categories and AI-ready data products. Ask each which subset has active demand before preparing exports. Centific: Most partnerships reach first accepted contribution in 6–10 weeks; payment on acceptance. Acceptance estimate is not a payout SLA. Datarade: 3-minute application; 1–2 business-day review claimed; no first-sale/payout SLA These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://www.centific.com/enterprise-data, https://www.centific.com/legal/legal-info, https://www.centific.com/company/locations, https://providers.datarade.ai/apply, https://datarade.ai/company ## Centific vs Nomad Data https://licensethedata.com/compare/centific-vs-nomad-data/ — indexable: false Review state: pending If you already have a marketable data product, compare distribution rather than headline payouts: Centific is direct licensing, while Nomad Data is matching network. Listing or matching creates no purchase commitment; ask who actually signs and pays. For your existing records, start with category fit: Centific lists CRM, contracts, projects, email, finance, healthcare operations, HR, ITSM and warehouses; Nomad Data lists General commercial datasets and expertise. Ask each which subset has active demand before preparing exports. Centific: Most partnerships reach first accepted contribution in 6–10 weeks; payment on acceptance. Acceptance estimate is not a payout SLA. Nomad Data: No buyer match, contract or payout SLA These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://www.centific.com/enterprise-data, https://www.centific.com/legal/legal-info, https://www.centific.com/company/locations, https://www.nomad-data.com/data-sellers ## Replay vs Turing Project Lazarus https://licensethedata.com/compare/replay-vs-turing-lazarus/ — indexable: false Review state: pending For recurring upside versus a single transaction, Replay describes upfront cash plus perpetual revenue share; Turing Lazarus explicitly describes one payout. Ask how contingent share payments are calculated and audited. For your existing records, start with category fit: Replay lists CRM, support, threads, code/commits, docs, financial records, presentations and product analytics; Turing Project Lazarus lists Communications, tickets, wikis, databases and code; code not required and not bought alone. Ask each which subset has active demand before preparing exports. Replay: 120 minutes refers to seller effort, not payment speed; payout deadline not published. Turing Project Lazarus: Intake call within one business day; valuation usually within a week of access. Neither is a payout deadline. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://www.replay.ai, https://www.replay.ai/terms, https://www.replay.ai/data-privacy, https://lazarus.turing.com ## Hookshot Data / Protege AI vs Replay https://licensethedata.com/compare/hookshot-data-vs-replay/ — indexable: false Review state: pending For ServiceNow resolution histories, Hookshot names a current fastest focus. Replay lists CRM, support, threads, code/commits, docs, financial records, presentations and product analytics. Broader categories do not establish current buyer demand. For your existing records, start with category fit: Hookshot Data / Protege AI lists ServiceNow ITSM resolutions (current fastest focus), SOPs, CRM, incidents, engineering reviews, finance and wikis; Replay lists CRM, support, threads, code/commits, docs, financial records, presentations and product analytics. Ask each which subset has active demand before preparing exports. Hookshot Data / Protege AI: Payment timing not established; ask the provider. Replay: 120 minutes refers to seller effort, not payment speed; payout deadline not published. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://www.tryprotege.com/data-licensing, https://www.tryprotege.com/privacy-policy, https://www.replay.ai, https://www.replay.ai/terms, https://www.replay.ai/data-privacy ## Replay vs SimpleClosure AssetHub https://licensethedata.com/compare/replay-vs-simpleclosure-assethub/ — indexable: false Review state: pending For your existing records, start with category fit: Replay lists CRM, support, threads, code/commits, docs, financial records, presentations and product analytics; SimpleClosure AssetHub lists Startup workspace/code assets: Slack, email, Drive, Notion, Figma and project context. Ask each which subset has active demand before preparing exports. Replay: 120 minutes refers to seller effort, not payment speed; payout deadline not published. SimpleClosure AssetHub: Assessment often hours/days; not a payment deadline. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://www.replay.ai, https://www.replay.ai/terms, https://www.replay.ai/data-privacy, https://simpleclosure.com/product/assethub, https://simpleclosure.com/blog/insights/what-your-assets-are-worth, https://www.upstartsmedia.com/p/exclusive-simpleclosure-data-what-ai-labs-buy ## Protege vs Replay https://licensethedata.com/compare/protege-vs-replay/ — indexable: false Review state: pending For specialist healthcare or media rights, Protege's published categories and Gradient Health case are more relevant than ordinary CRM exports. Replay lists CRM, support, threads, code/commits, docs, financial records, presentations and product analytics. Do not extrapolate specialist case revenue to a small operating business. For your existing records, start with category fit: Protege lists Healthcare, video, audio/speech, spatial/physical and other domains; generic CRM/SOP archives not explicitly enumerated; Replay lists CRM, support, threads, code/commits, docs, financial records, presentations and product analytics. Ask each which subset has active demand before preparing exports. Protege: Active opportunities often fulfilled under a month; fulfillment is not seller payment timing. Replay: 120 minutes refers to seller effort, not payment speed; payout deadline not published. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://withprotege.ai/data-provider/other-domains, https://withprotege.ai/blog/gradient-health-and-protege-partner-to-bring-multi-modal-scale-and-data-diversity-to-healthcare-ai, https://gradienthealth.io/blog/gradient-health-partners-protege, https://www.replay.ai, https://www.replay.ai/terms, https://www.replay.ai/data-privacy ## Defined.ai vs Replay https://licensethedata.com/compare/defined-ai-vs-replay/ — indexable: false Review state: pending If you already have a marketable data product, compare distribution rather than headline payouts: Defined.ai is managed marketplace, while Replay is managed intermediary. Listing or matching creates no purchase commitment; ask who actually signs and pays. For your existing records, start with category fit: Defined.ai lists Audio/video/images/text/multimodal; sales, stock, shipping, code, STEM, cinematic/anime; Replay lists CRM, support, threads, code/commits, docs, financial records, presentations and product analytics. Ask each which subset has active demand before preparing exports. Defined.ai: Four-stage onboarding; no fixed elapsed-time or payout commitment Replay: 120 minutes refers to seller effort, not payment speed; payout deadline not published. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://defined.ai/partnership-programs, https://defined.ai/supplier-program, https://defined.ai/candidate-privacy-statement, https://www.replay.ai, https://www.replay.ai/terms, https://www.replay.ai/data-privacy ## Datarade vs Replay https://licensethedata.com/compare/datarade-vs-replay/ — indexable: false Review state: pending If you already have a marketable data product, compare distribution rather than headline payouts: Datarade is marketplace, while Replay is managed intermediary. Listing or matching creates no purchase commitment; ask who actually signs and pays. For your existing records, start with category fit: Datarade lists Broad dataset categories and AI-ready data products; Replay lists CRM, support, threads, code/commits, docs, financial records, presentations and product analytics. Ask each which subset has active demand before preparing exports. Datarade: 3-minute application; 1–2 business-day review claimed; no first-sale/payout SLA Replay: 120 minutes refers to seller effort, not payment speed; payout deadline not published. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://providers.datarade.ai/apply, https://datarade.ai/company, https://www.replay.ai, https://www.replay.ai/terms, https://www.replay.ai/data-privacy ## Nomad Data vs Replay https://licensethedata.com/compare/nomad-data-vs-replay/ — indexable: false Review state: pending If you already have a marketable data product, compare distribution rather than headline payouts: Nomad Data is matching network, while Replay is managed intermediary. Listing or matching creates no purchase commitment; ask who actually signs and pays. For your existing records, start with category fit: Nomad Data lists General commercial datasets and expertise; Replay lists CRM, support, threads, code/commits, docs, financial records, presentations and product analytics. Ask each which subset has active demand before preparing exports. Nomad Data: No buyer match, contract or payout SLA Replay: 120 minutes refers to seller effort, not payment speed; payout deadline not published. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://www.nomad-data.com/data-sellers, https://www.replay.ai, https://www.replay.ai/terms, https://www.replay.ai/data-privacy ## Hookshot Data / Protege AI vs Turing Project Lazarus https://licensethedata.com/compare/hookshot-data-vs-turing-lazarus/ — indexable: false Review state: pending For ServiceNow resolution histories, Hookshot names a current fastest focus. Turing Project Lazarus lists Communications, tickets, wikis, databases and code; code not required and not bought alone. Broader categories do not establish current buyer demand. For your existing records, start with category fit: Hookshot Data / Protege AI lists ServiceNow ITSM resolutions (current fastest focus), SOPs, CRM, incidents, engineering reviews, finance and wikis; Turing Project Lazarus lists Communications, tickets, wikis, databases and code; code not required and not bought alone. Ask each which subset has active demand before preparing exports. Hookshot Data / Protege AI: Payment timing not established; ask the provider. Turing Project Lazarus: Intake call within one business day; valuation usually within a week of access. Neither is a payout deadline. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://www.tryprotege.com/data-licensing, https://www.tryprotege.com/privacy-policy, https://lazarus.turing.com ## SimpleClosure AssetHub vs Turing Project Lazarus https://licensethedata.com/compare/simpleclosure-assethub-vs-turing-lazarus/ — indexable: false Review state: pending For your existing records, start with category fit: SimpleClosure AssetHub lists Startup workspace/code assets: Slack, email, Drive, Notion, Figma and project context; Turing Project Lazarus lists Communications, tickets, wikis, databases and code; code not required and not bought alone. Ask each which subset has active demand before preparing exports. SimpleClosure AssetHub: Assessment often hours/days; not a payment deadline. Turing Project Lazarus: Intake call within one business day; valuation usually within a week of access. Neither is a payout deadline. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://simpleclosure.com/product/assethub, https://simpleclosure.com/blog/insights/what-your-assets-are-worth, https://www.upstartsmedia.com/p/exclusive-simpleclosure-data-what-ai-labs-buy, https://lazarus.turing.com ## Protege vs Turing Project Lazarus https://licensethedata.com/compare/protege-vs-turing-lazarus/ — indexable: false Review state: pending For specialist healthcare or media rights, Protege's published categories and Gradient Health case are more relevant than ordinary CRM exports. Turing Project Lazarus lists Communications, tickets, wikis, databases and code; code not required and not bought alone. Do not extrapolate specialist case revenue to a small operating business. For your existing records, start with category fit: Protege lists Healthcare, video, audio/speech, spatial/physical and other domains; generic CRM/SOP archives not explicitly enumerated; Turing Project Lazarus lists Communications, tickets, wikis, databases and code; code not required and not bought alone. Ask each which subset has active demand before preparing exports. Protege: Active opportunities often fulfilled under a month; fulfillment is not seller payment timing. Turing Project Lazarus: Intake call within one business day; valuation usually within a week of access. Neither is a payout deadline. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://withprotege.ai/data-provider/other-domains, https://withprotege.ai/blog/gradient-health-and-protege-partner-to-bring-multi-modal-scale-and-data-diversity-to-healthcare-ai, https://gradienthealth.io/blog/gradient-health-partners-protege, https://lazarus.turing.com ## Defined.ai vs Turing Project Lazarus https://licensethedata.com/compare/defined-ai-vs-turing-lazarus/ — indexable: false Review state: pending If you already have a marketable data product, compare distribution rather than headline payouts: Defined.ai is managed marketplace, while Turing Project Lazarus is direct licensing. Listing or matching creates no purchase commitment; ask who actually signs and pays. For your existing records, start with category fit: Defined.ai lists Audio/video/images/text/multimodal; sales, stock, shipping, code, STEM, cinematic/anime; Turing Project Lazarus lists Communications, tickets, wikis, databases and code; code not required and not bought alone. Ask each which subset has active demand before preparing exports. Defined.ai: Four-stage onboarding; no fixed elapsed-time or payout commitment Turing Project Lazarus: Intake call within one business day; valuation usually within a week of access. Neither is a payout deadline. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://defined.ai/partnership-programs, https://defined.ai/supplier-program, https://defined.ai/candidate-privacy-statement, https://lazarus.turing.com ## Datarade vs Turing Project Lazarus https://licensethedata.com/compare/datarade-vs-turing-lazarus/ — indexable: false Review state: pending If you already have a marketable data product, compare distribution rather than headline payouts: Datarade is marketplace, while Turing Project Lazarus is direct licensing. Listing or matching creates no purchase commitment; ask who actually signs and pays. For your existing records, start with category fit: Datarade lists Broad dataset categories and AI-ready data products; Turing Project Lazarus lists Communications, tickets, wikis, databases and code; code not required and not bought alone. Ask each which subset has active demand before preparing exports. Datarade: 3-minute application; 1–2 business-day review claimed; no first-sale/payout SLA Turing Project Lazarus: Intake call within one business day; valuation usually within a week of access. Neither is a payout deadline. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://providers.datarade.ai/apply, https://datarade.ai/company, https://lazarus.turing.com ## Nomad Data vs Turing Project Lazarus https://licensethedata.com/compare/nomad-data-vs-turing-lazarus/ — indexable: false Review state: pending If you already have a marketable data product, compare distribution rather than headline payouts: Nomad Data is matching network, while Turing Project Lazarus is direct licensing. Listing or matching creates no purchase commitment; ask who actually signs and pays. For your existing records, start with category fit: Nomad Data lists General commercial datasets and expertise; Turing Project Lazarus lists Communications, tickets, wikis, databases and code; code not required and not bought alone. Ask each which subset has active demand before preparing exports. Nomad Data: No buyer match, contract or payout SLA Turing Project Lazarus: Intake call within one business day; valuation usually within a week of access. Neither is a payout deadline. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://www.nomad-data.com/data-sellers, https://lazarus.turing.com ## Hookshot Data / Protege AI vs SimpleClosure AssetHub https://licensethedata.com/compare/hookshot-data-vs-simpleclosure-assethub/ — indexable: false Review state: pending For ServiceNow resolution histories, Hookshot names a current fastest focus. SimpleClosure AssetHub lists Startup workspace/code assets: Slack, email, Drive, Notion, Figma and project context. Broader categories do not establish current buyer demand. For your existing records, start with category fit: Hookshot Data / Protege AI lists ServiceNow ITSM resolutions (current fastest focus), SOPs, CRM, incidents, engineering reviews, finance and wikis; SimpleClosure AssetHub lists Startup workspace/code assets: Slack, email, Drive, Notion, Figma and project context. Ask each which subset has active demand before preparing exports. Hookshot Data / Protege AI: Payment timing not established; ask the provider. SimpleClosure AssetHub: Assessment often hours/days; not a payment deadline. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://www.tryprotege.com/data-licensing, https://www.tryprotege.com/privacy-policy, https://simpleclosure.com/product/assethub, https://simpleclosure.com/blog/insights/what-your-assets-are-worth, https://www.upstartsmedia.com/p/exclusive-simpleclosure-data-what-ai-labs-buy ## Hookshot Data / Protege AI vs Protege https://licensethedata.com/compare/hookshot-data-vs-protege/ — indexable: false Review state: pending For ServiceNow resolution histories, Hookshot names a current fastest focus. Protege lists Healthcare, video, audio/speech, spatial/physical and other domains; generic CRM/SOP archives not explicitly enumerated. Broader categories do not establish current buyer demand. For specialist healthcare or media rights, Protege's published categories and Gradient Health case are more relevant than ordinary CRM exports. Hookshot Data / Protege AI lists ServiceNow ITSM resolutions (current fastest focus), SOPs, CRM, incidents, engineering reviews, finance and wikis. Do not extrapolate specialist case revenue to a small operating business. Hookshot Data / Protege AI: Payment timing not established; ask the provider. Protege: Active opportunities often fulfilled under a month; fulfillment is not seller payment timing. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://www.tryprotege.com/data-licensing, https://www.tryprotege.com/privacy-policy, https://withprotege.ai/data-provider/other-domains, https://withprotege.ai/blog/gradient-health-and-protege-partner-to-bring-multi-modal-scale-and-data-diversity-to-healthcare-ai, https://gradienthealth.io/blog/gradient-health-partners-protege ## Defined.ai vs Hookshot Data / Protege AI https://licensethedata.com/compare/defined-ai-vs-hookshot-data/ — indexable: false Review state: pending For ServiceNow resolution histories, Hookshot names a current fastest focus. Defined.ai lists Audio/video/images/text/multimodal; sales, stock, shipping, code, STEM, cinematic/anime. Broader categories do not establish current buyer demand. If you already have a marketable data product, compare distribution rather than headline payouts: Defined.ai is managed marketplace, while Hookshot Data / Protege AI is managed intermediary. Listing or matching creates no purchase commitment; ask who actually signs and pays. Defined.ai: Four-stage onboarding; no fixed elapsed-time or payout commitment Hookshot Data / Protege AI: Payment timing not established; ask the provider. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://defined.ai/partnership-programs, https://defined.ai/supplier-program, https://defined.ai/candidate-privacy-statement, https://www.tryprotege.com/data-licensing, https://www.tryprotege.com/privacy-policy ## Datarade vs Hookshot Data / Protege AI https://licensethedata.com/compare/datarade-vs-hookshot-data/ — indexable: false Review state: pending For ServiceNow resolution histories, Hookshot names a current fastest focus. Datarade lists Broad dataset categories and AI-ready data products. Broader categories do not establish current buyer demand. If you already have a marketable data product, compare distribution rather than headline payouts: Datarade is marketplace, while Hookshot Data / Protege AI is managed intermediary. Listing or matching creates no purchase commitment; ask who actually signs and pays. Datarade: 3-minute application; 1–2 business-day review claimed; no first-sale/payout SLA Hookshot Data / Protege AI: Payment timing not established; ask the provider. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://providers.datarade.ai/apply, https://datarade.ai/company, https://www.tryprotege.com/data-licensing, https://www.tryprotege.com/privacy-policy ## Hookshot Data / Protege AI vs Nomad Data https://licensethedata.com/compare/hookshot-data-vs-nomad-data/ — indexable: false Review state: pending For ServiceNow resolution histories, Hookshot names a current fastest focus. Nomad Data lists General commercial datasets and expertise. Broader categories do not establish current buyer demand. If you already have a marketable data product, compare distribution rather than headline payouts: Hookshot Data / Protege AI is managed intermediary, while Nomad Data is matching network. Listing or matching creates no purchase commitment; ask who actually signs and pays. Hookshot Data / Protege AI: Payment timing not established; ask the provider. Nomad Data: No buyer match, contract or payout SLA These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://www.tryprotege.com/data-licensing, https://www.tryprotege.com/privacy-policy, https://www.nomad-data.com/data-sellers ## Protege vs SimpleClosure AssetHub https://licensethedata.com/compare/protege-vs-simpleclosure-assethub/ — indexable: false Review state: pending For specialist healthcare or media rights, Protege's published categories and Gradient Health case are more relevant than ordinary CRM exports. SimpleClosure AssetHub lists Startup workspace/code assets: Slack, email, Drive, Notion, Figma and project context. Do not extrapolate specialist case revenue to a small operating business. For your existing records, start with category fit: Protege lists Healthcare, video, audio/speech, spatial/physical and other domains; generic CRM/SOP archives not explicitly enumerated; SimpleClosure AssetHub lists Startup workspace/code assets: Slack, email, Drive, Notion, Figma and project context. Ask each which subset has active demand before preparing exports. Protege: Active opportunities often fulfilled under a month; fulfillment is not seller payment timing. SimpleClosure AssetHub: Assessment often hours/days; not a payment deadline. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://withprotege.ai/data-provider/other-domains, https://withprotege.ai/blog/gradient-health-and-protege-partner-to-bring-multi-modal-scale-and-data-diversity-to-healthcare-ai, https://gradienthealth.io/blog/gradient-health-partners-protege, https://simpleclosure.com/product/assethub, https://simpleclosure.com/blog/insights/what-your-assets-are-worth, https://www.upstartsmedia.com/p/exclusive-simpleclosure-data-what-ai-labs-buy ## Defined.ai vs SimpleClosure AssetHub https://licensethedata.com/compare/defined-ai-vs-simpleclosure-assethub/ — indexable: false Review state: pending If you already have a marketable data product, compare distribution rather than headline payouts: Defined.ai is managed marketplace, while SimpleClosure AssetHub is asset sale / licensing. Listing or matching creates no purchase commitment; ask who actually signs and pays. For your existing records, start with category fit: Defined.ai lists Audio/video/images/text/multimodal; sales, stock, shipping, code, STEM, cinematic/anime; SimpleClosure AssetHub lists Startup workspace/code assets: Slack, email, Drive, Notion, Figma and project context. Ask each which subset has active demand before preparing exports. Defined.ai: Four-stage onboarding; no fixed elapsed-time or payout commitment SimpleClosure AssetHub: Assessment often hours/days; not a payment deadline. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://defined.ai/partnership-programs, https://defined.ai/supplier-program, https://defined.ai/candidate-privacy-statement, https://simpleclosure.com/product/assethub, https://simpleclosure.com/blog/insights/what-your-assets-are-worth, https://www.upstartsmedia.com/p/exclusive-simpleclosure-data-what-ai-labs-buy ## Datarade vs SimpleClosure AssetHub https://licensethedata.com/compare/datarade-vs-simpleclosure-assethub/ — indexable: false Review state: pending If you already have a marketable data product, compare distribution rather than headline payouts: Datarade is marketplace, while SimpleClosure AssetHub is asset sale / licensing. Listing or matching creates no purchase commitment; ask who actually signs and pays. For your existing records, start with category fit: Datarade lists Broad dataset categories and AI-ready data products; SimpleClosure AssetHub lists Startup workspace/code assets: Slack, email, Drive, Notion, Figma and project context. Ask each which subset has active demand before preparing exports. Datarade: 3-minute application; 1–2 business-day review claimed; no first-sale/payout SLA SimpleClosure AssetHub: Assessment often hours/days; not a payment deadline. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://providers.datarade.ai/apply, https://datarade.ai/company, https://simpleclosure.com/product/assethub, https://simpleclosure.com/blog/insights/what-your-assets-are-worth, https://www.upstartsmedia.com/p/exclusive-simpleclosure-data-what-ai-labs-buy ## Nomad Data vs SimpleClosure AssetHub https://licensethedata.com/compare/nomad-data-vs-simpleclosure-assethub/ — indexable: false Review state: pending If you already have a marketable data product, compare distribution rather than headline payouts: Nomad Data is matching network, while SimpleClosure AssetHub is asset sale / licensing. Listing or matching creates no purchase commitment; ask who actually signs and pays. For your existing records, start with category fit: Nomad Data lists General commercial datasets and expertise; SimpleClosure AssetHub lists Startup workspace/code assets: Slack, email, Drive, Notion, Figma and project context. Ask each which subset has active demand before preparing exports. Nomad Data: No buyer match, contract or payout SLA SimpleClosure AssetHub: Assessment often hours/days; not a payment deadline. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://www.nomad-data.com/data-sellers, https://simpleclosure.com/product/assethub, https://simpleclosure.com/blog/insights/what-your-assets-are-worth, https://www.upstartsmedia.com/p/exclusive-simpleclosure-data-what-ai-labs-buy ## Defined.ai vs Protege https://licensethedata.com/compare/defined-ai-vs-protege/ — indexable: false Review state: pending If you already have a marketable data product, compare distribution rather than headline payouts: Defined.ai is managed marketplace, while Protege is specialist licensing. Listing or matching creates no purchase commitment; ask who actually signs and pays. For specialist healthcare or media rights, Protege's published categories and Gradient Health case are more relevant than ordinary CRM exports. Defined.ai lists Audio/video/images/text/multimodal; sales, stock, shipping, code, STEM, cinematic/anime. Do not extrapolate specialist case revenue to a small operating business. Defined.ai: Four-stage onboarding; no fixed elapsed-time or payout commitment Protege: Active opportunities often fulfilled under a month; fulfillment is not seller payment timing. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://defined.ai/partnership-programs, https://defined.ai/supplier-program, https://defined.ai/candidate-privacy-statement, https://withprotege.ai/data-provider/other-domains, https://withprotege.ai/blog/gradient-health-and-protege-partner-to-bring-multi-modal-scale-and-data-diversity-to-healthcare-ai, https://gradienthealth.io/blog/gradient-health-partners-protege ## Datarade vs Protege https://licensethedata.com/compare/datarade-vs-protege/ — indexable: false Review state: pending If you already have a marketable data product, compare distribution rather than headline payouts: Datarade is marketplace, while Protege is specialist licensing. Listing or matching creates no purchase commitment; ask who actually signs and pays. For specialist healthcare or media rights, Protege's published categories and Gradient Health case are more relevant than ordinary CRM exports. Datarade lists Broad dataset categories and AI-ready data products. Do not extrapolate specialist case revenue to a small operating business. Datarade: 3-minute application; 1–2 business-day review claimed; no first-sale/payout SLA Protege: Active opportunities often fulfilled under a month; fulfillment is not seller payment timing. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://providers.datarade.ai/apply, https://datarade.ai/company, https://withprotege.ai/data-provider/other-domains, https://withprotege.ai/blog/gradient-health-and-protege-partner-to-bring-multi-modal-scale-and-data-diversity-to-healthcare-ai, https://gradienthealth.io/blog/gradient-health-partners-protege ## Nomad Data vs Protege https://licensethedata.com/compare/nomad-data-vs-protege/ — indexable: false Review state: pending If you already have a marketable data product, compare distribution rather than headline payouts: Nomad Data is matching network, while Protege is specialist licensing. Listing or matching creates no purchase commitment; ask who actually signs and pays. For specialist healthcare or media rights, Protege's published categories and Gradient Health case are more relevant than ordinary CRM exports. Nomad Data lists General commercial datasets and expertise. Do not extrapolate specialist case revenue to a small operating business. Nomad Data: No buyer match, contract or payout SLA Protege: Active opportunities often fulfilled under a month; fulfillment is not seller payment timing. These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://www.nomad-data.com/data-sellers, https://withprotege.ai/data-provider/other-domains, https://withprotege.ai/blog/gradient-health-and-protege-partner-to-bring-multi-modal-scale-and-data-diversity-to-healthcare-ai, https://gradienthealth.io/blog/gradient-health-partners-protege ## Datarade vs Defined.ai https://licensethedata.com/compare/datarade-vs-defined-ai/ — indexable: false Review state: pending If you already have a marketable data product, compare distribution rather than headline payouts: Datarade is marketplace, while Defined.ai is managed marketplace. Listing or matching creates no purchase commitment; ask who actually signs and pays. For your existing records, start with category fit: Datarade lists Broad dataset categories and AI-ready data products; Defined.ai lists Audio/video/images/text/multimodal; sales, stock, shipping, code, STEM, cinematic/anime. Ask each which subset has active demand before preparing exports. Datarade: 3-minute application; 1–2 business-day review claimed; no first-sale/payout SLA Defined.ai: Four-stage onboarding; no fixed elapsed-time or payout commitment These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://providers.datarade.ai/apply, https://datarade.ai/company, https://defined.ai/partnership-programs, https://defined.ai/supplier-program, https://defined.ai/candidate-privacy-statement ## Defined.ai vs Nomad Data https://licensethedata.com/compare/defined-ai-vs-nomad-data/ — indexable: false Review state: pending If you already have a marketable data product, compare distribution rather than headline payouts: Defined.ai is managed marketplace, while Nomad Data is matching network. Listing or matching creates no purchase commitment; ask who actually signs and pays. For your existing records, start with category fit: Defined.ai lists Audio/video/images/text/multimodal; sales, stock, shipping, code, STEM, cinematic/anime; Nomad Data lists General commercial datasets and expertise. Ask each which subset has active demand before preparing exports. Defined.ai: Four-stage onboarding; no fixed elapsed-time or payout commitment Nomad Data: No buyer match, contract or payout SLA These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://defined.ai/partnership-programs, https://defined.ai/supplier-program, https://defined.ai/candidate-privacy-statement, https://www.nomad-data.com/data-sellers ## Datarade vs Nomad Data https://licensethedata.com/compare/datarade-vs-nomad-data/ — indexable: false Review state: pending If you already have a marketable data product, compare distribution rather than headline payouts: Datarade is marketplace, while Nomad Data is matching network. Listing or matching creates no purchase commitment; ask who actually signs and pays. For your existing records, start with category fit: Datarade lists Broad dataset categories and AI-ready data products; Nomad Data lists General commercial datasets and expertise. Ask each which subset has active demand before preparing exports. Datarade: 3-minute application; 1–2 business-day review claimed; no first-sale/payout SLA Nomad Data: No buyer match, contract or payout SLA These clocks measure different stages, not equivalent payout deadlines; ask for a written acceptance-to-payment interval. Sources: https://providers.datarade.ai/apply, https://datarade.ai/company, https://www.nomad-data.com/data-sellers # How to sell or license your business data to AI buyers https://licensethedata.com/guides/sell-business-data/ An owner’s route from existing operating records to a scoped licensing discussion, including eligibility, costs and reasons to stop. 4 minute read. ## Why an operating business might consider licensing Your company may already have something an AI buyer wants: records of work being done, not just descriptions of how it should be done. micro1 seeks procedures, CRM data and project histories. Appen describes demand for approval chains, escalations and failure-and-recovery paths. These programs offer a reason to investigate potential revenue from existing records; they do not establish that your company will receive an offer. The commercial question is whether a useful, permissioned record can be prepared without harming the business that produced it. Revenue is only one side of that decision. The other side includes staff effort, contract review, customer obligations and the rights you would give a buyer. Source: micro1: Enterprise Data Partnerships — https://www.micro1.ai/data-partnerships Source: Appen: Enterprise Data — https://www.appen.com/enterprise-data ## Start with a workflow, not a folder of files A useful first description explains an activity from beginning to end: what started the work, what information people used, what changed, who approved the change and what happened afterward. Mercor lists communications, documents, CRM and code among its operational-data sources. Appen emphasizes the relationships between records rather than isolated exports. For illustration, a maintenance business might describe work orders linked to scheduling changes, technician notes and resolution records. That is a proposed inventory exercise, not a reported sale. The owner should identify customer and employee information before deciding whether any example can leave the company. - Describe two or three recurring workflows in ordinary language. - List the systems and time periods involved, using approximate counts rather than attaching records. - Explain whether outcomes and revisions can be linked to their original tasks. - Mark client-owned work, personal information, credentials and sensitive commercial material as exclusions pending review. Source: Mercor: Enterprise Workflow Data — https://www.mercor.com/data Source: Appen: Enterprise Data — https://www.appen.com/enterprise-data ## Check eligibility before spending time on exports micro1’s Enterprise Data Partnership targets operationally mature companies with 30+ employees and established documentation, prioritizing US companies followed by other Western markets. Handshake’s intake seeks 20+ full-time employees and at least three years of operation. Those are program-specific criteria, not a universal rule about whether business records have value. If a different program does not publish a minimum, treat your eligibility as unconfirmed. A global referral route, a country option in a calculator or an intake form that accepts a submission is not approval to participate. Ask about your location, record languages, industry, operating status and current buyer demand before doing technical work. Source: micro1: Enterprise Data Partnerships — https://www.micro1.ai/data-partnerships Source: Handshake AI: Data Partnership Intake — https://joinhandshake.com/ai/data-partnerships/license ## Choose the route and the access method separately Managed programs can help scope, extract and prepare records. Mercor describes read-only system connections; Troveo describes guided exports without OAuth connections or a platform installation. These are different access methods, not proof that one is safer. Establish who receives raw content, where processing occurs and what approval happens before downstream use. A marketplace listing is another route, but not the same as an acquisition commitment. Datarade offers provider listings and buyer discovery. Nomad describes matching sellers to buyer requests and direct negotiation without needing access to the seller’s data. If you choose matching rather than managed preparation, ask who will handle technical delivery and privacy review. Source: Mercor: Enterprise Workflow Data — https://www.mercor.com/data Source: Troveo: Business Data — https://www.troveo.ai/business-data Source: Datarade: Data Marketplace — https://datarade.ai Source: Nomad Data: Data Sellers — https://www.nomad-data.com/data-sellers ## Compare a written offer, not the headline amount Ask for the contracting entity, dataset scope, permitted uses, acceptance rules, fee calculation and payment trigger in writing. Appen says terms are agreed before extraction and payment is on acceptance. Mercor publishes a typical wire-payment interval of 2–4 weeks from a signed agreement, upon delivery to the buyer. Neither statement is a promise of cash a fixed number of weeks after your first inquiry. Appen and Mercor state that they cover preparation costs without setup fees or deductions. Treat those as public program claims to confirm in your offer. Also budget your own staff and adviser time. A deal with no provider fee can still require substantial internal work. - Separate guaranteed payment from amounts conditional on acceptance or later sales. - Request a worked gross-to-net example using the actual proposed contract. - Check whether a fee, commission or revenue share applies to repeat sales. - Ask what happens if the buyer rejects the records after preparation. Source: Appen: Enterprise Data — https://www.appen.com/enterprise-data Source: Mercor: Enterprise Workflow Data — https://www.mercor.com/data ## Keep a real stop decision Do not proceed while ownership, client confidentiality or privacy obligations remain unresolved. Stop if acceptable exclusions destroy the useful workflow, a buyer requires access you cannot justify, or the agreement would expose competitive knowledge on unacceptable terms. A smaller, cleared scope is preferable to a bigger dataset you cannot responsibly license. Your next step can be a metadata-only description and a list of questions. It need not be a raw export. LicenseTheData.com provides general education for business owners, not legal or financial advice; use qualified advisers for your jurisdictions and contracts. Declining an offer is a valid outcome. # What is your business data worth? Evaluate the factors, not a dollar calculator https://licensethedata.com/guides/business-data-value/ Understand demand, workflow depth, rights and preparation costs without inventing an expected payout. 4 minute read. ## There is no defensible price from headcount alone micro1 advertises compensation tiers and says valuation depends on factors including size, complexity, quality, expertise and uniqueness. Handshake advertises a partnership range but explicitly says its calculator is indicative, not an offer. These statements describe how providers position opportunities; they do not supply an achieved payout distribution for ordinary businesses. LicenseTheData.com does not assign a dollar estimate to your headcount, industry or storage volume. A useful assessment instead separates buyer demand, the records’ usefulness, the rights available and the cost of getting to an acceptable deal. Until a buyer scopes an offer, price is unknown. Source: micro1: Enterprise Data Partnerships — https://www.micro1.ai/data-partnerships Source: Handshake AI: Data Partnerships — https://joinhandshake.com/ai/data-partnerships ## Workflow depth: what can a buyer actually learn? Appen identifies approval chains, exception handling, outcomes and rework as useful signals. Centific says connected records preserve relationships between a deal, thread, approval and invoice. The point is context: a final invoice alone says less about a process than a linked record explaining how a discrepancy was resolved. For your own assessment, choose one completed workflow and see whether an unfamiliar reviewer could follow it without asking employees to reconstruct missing history. Do not send that example yet. First determine whether it can be explained using a cleared or internally retained sample. - Can you identify the starting task and final outcome? - Are changes and approvals recorded rather than assumed? - Do records preserve failures, escalations and corrections? - Can links survive removal of identities and confidential content? Source: Appen: Enterprise Data — https://www.appen.com/enterprise-data Source: Centific: Enterprise Data — https://www.centific.com/enterprise-data ## Rarity and current demand are different questions Appen says it quotes individually based on rarity, structure and history. Troveo’s timeline describes the first sale as dependent on what buyers want at the time. A distinctive archive can therefore be interesting without having an immediately available buyer. Ask a prospective partner what use case it is evaluating: training, evaluation, benchmarking or another specified purpose. Then ask whether demand concerns your particular workflow and period, not merely your industry label. Treat a proposed future market differently from a buyer prepared to make a scoped offer now. - Record whether interest is exploratory, a qualified buyer request or a written offer. - Ask which records support the intended use and which add little useful signal. - Avoid interpreting a broad list of accepted industries as demand for every company in those industries. Source: Appen: Enterprise Data — https://www.appen.com/enterprise-data Source: Troveo: How Long Does It Take to License Company Data? — https://www.troveo.ai/resources/how-long-to-license-company-data ## Rights and exclusions change the saleable scope A commercially attractive record is not automatically yours to license. As a preparation proposal, build an ownership and restrictions map covering company work, contractor contributions, client materials, third-party content and platform terms. Have the relevant obligations assessed before describing records as cleared. Removing names is not a shortcut around that work. The UK ICO explains that pseudonymised personal data remains within data-protection law in its jurisdiction. It also cautions that pseudonymisation should not be confused with anonymisation; its guidance is under review. A privacy transformation and permission to license are separate questions. - Identify which records are clearly controlled by the company and which need review. - Test whether useful context remains after mandatory exclusions. - Keep privacy clearance, IP clearance and customer confidentiality as separate review items. Source: UK ICO: Pseudonymisation — https://ico.org.uk/for-organisations/uk-gdpr-guidance-and-resources/data-sharing/anonymisation/pseudonymisation ## Judge the economics of the actual offer A headline gross payment does not show your retained proceeds or obligations. Request an itemized calculation: fixed payment, conditional payment, commission, preparation charges, recurring share and any refund or clawback provisions. Then account separately for internal staff time and outside review costs. These are questions to apply to an offer, not claims that every provider imposes such charges. Different payment models require different comparisons. Turing describes a single payout for Project Lazarus. Replay advertises upfront cash plus ongoing revenue share. Troveo says sellers share in repeat sales, but a currently verified percentage was not established in our research. A possible future payment stream should not be counted as guaranteed cash today. Source: Turing: Project Lazarus — https://lazarus.turing.com Source: Replay: Business Data Licensing — https://www.replay.ai Source: Troveo: Business Data — https://www.troveo.ai/business-data ## Use a readiness memo instead of an invented valuation Prepare a one-page memo with the workflow, period, system list, approximate record counts, link quality, exclusions and unresolved permissions. Add the effort required to prepare an approved sample. This gives a buyer something concrete to scope without pretending you already know the market price. Your decision can then be specific: investigate a metadata-only inquiry, narrow the scope, obtain advice, compare compatible written offers or stop. If no acceptable offer emerges, you have not disproved the usefulness of your records; you have learned that the available transaction does not meet your requirements. - Keep advertised compensation, written offers and received payments in separate fields. - Compare offers only after aligning the dataset and rights scope. - Do not value recurring income without its conditions and reporting rules. - Set a staff-time limit before beginning an open-ended exploration. # Selling versus licensing business data: what changes and what does not https://licensethedata.com/guides/sale-vs-license/ A practical guide to ownership, permitted uses, exclusivity and the contract terms that determine control. 4 minute read. ## Start with what the agreement transfers A licensing arrangement grants specified uses; an asset sale may transfer the asset or associated rights. The document, not the marketing verb, determines the transaction. micro1 and Troveo say businesses retain underlying ownership. Centific also describes licensing, but says a wind-down transaction may use an asset-purchase agreement. Do not assume that an offer labeled “sell your data” transfers ownership, or that one labeled “license” preserves every form of control. Request the actual grant of rights, definitions of the dataset and derivatives, and any assignment language. This guide is a review framework, not a legal interpretation of your proposed agreement. Source: micro1: Enterprise Data Partnerships — https://www.micro1.ai/data-partnerships Source: Troveo: Business Data — https://www.troveo.ai/business-data Source: Centific: Enterprise Data — https://www.centific.com/enterprise-data ## Retained ownership is only the first question Retaining ownership answers who owns the underlying asset. It does not by itself answer whether the license is exclusive, perpetual, revocable, transferable or available to competitors. Troveo’s ownership statement therefore should not be read as a complete description of its downstream terms. Ask what you can still do after signing: operate the business, use the records internally, license the same material to another buyer, develop a competing product or sell the company. If the answer depends on carve-outs, have those carve-outs recorded explicitly rather than inferred from a reassuring headline. - Define the included systems, dates, teams and record types. - Separate ownership of source records from rights in prepared or synthetic datasets. - Ask whether internal reuse and future licensing are expressly preserved. - Check whether restrictions survive termination or a change of company ownership. Source: Troveo: Business Data — https://www.troveo.ai/business-data ## Permitted uses need more detail than “AI” Handshake describes company data being used for model training and evaluation. Appen describes licensed workflows and optional annotation from people who did the work. Those descriptions help explain the opportunity, but your agreement still needs to identify which uses you authorize. Consider the difference between testing a model, training it, constructing an agent simulation and creating a resaleable derived dataset. Do not assume that approving one authorizes the others. Request definitions that a non-specialist owner can understand, and identify who can access each version of the material. - Ask about training, fine-tuning, evaluation and benchmarking separately. - Ask about synthetic rewrites, derived products and model or output rights. - Identify onward licensing, buyer categories and any competitor exclusions. - Specify approval rights for uses outside the initial scope. Source: Handshake AI: Data Partnerships — https://joinhandshake.com/ai/data-partnerships Source: Appen: Enterprise Data — https://www.appen.com/enterprise-data ## Exclusivity is a commercial constraint, not a quality badge An exclusivity proposal should be examined by scope, purpose, buyer group, territory and duration. A narrow exclusive right for one cleared workflow is different from exclusivity over every record the company has or will produce. These are negotiating questions, not descriptions of a standard contract. If a partner needs exclusivity to prepare and market the dataset, ask what it commits in return. Possible discussion points include a deadline for a first transaction, minimum performance, reporting and an exit if no buyer emerges. Do not treat any of those protections as present unless written into the agreement. - Separate existing records from future refreshes. - Ask whether exclusivity attaches to the source data, prepared version or both. - Check whether derived products remain restricted after the original term. - Compare the payment with the future opportunities you would give up. ## Termination, deletion and completed use are different Request distinct rules for raw exports, prepared datasets, backups, onward recipients and already-created products. micro1 says retention and deletion follow agreed terms, but its public page does not provide a complete operational-dataset deletion schedule. A general website privacy notice is not a substitute for your negotiated dataset terms. Do not promise stakeholders that deleting a source file will reverse model training. Instead ask how completed training, derivatives and buyer rights are treated after termination, and what evidence of deletion can be provided for copies that are subject to deletion. If the answer is unclear or unacceptable, pause before granting rights. Source: micro1: Enterprise Data Partnerships — https://www.micro1.ai/data-partnerships ## Make the rights review part of the price comparison Two offers for the same records can purchase very different permissions. Compare price only after mapping term, exclusivity, downstream uses, repeat-sale accounting, warranties and liability. A larger headline amount is not automatically the better transaction if it buys much broader rights. Before signing, involve an authorized company decision-maker and qualified counsel for the relevant jurisdictions. Possession of an export does not establish licensing authority. Do not proceed if client restrictions, contractor IP or personal-data obligations cannot be cleared for the proposed use. - Summarize each grant of rights in plain language beside its payment terms. - Ask who is contractually responsible for extraction, transformation and downstream handling. - Check indemnities, liability caps, dispute procedures and obligations that survive termination. - Keep a dated copy of the approved scope and executed agreement. # Privacy and rights checks before licensing operating records https://licensethedata.com/guides/privacy-and-rights-diligence/ A staged diligence checklist for ownership, client confidentiality, personal information and downstream use. 5 minute read. ## Possession is not permission Begin with a map of who created each record, who owns or controls it, and which obligations restrict reuse. A shared drive may combine company procedures, client-owned deliverables, licensed vendor documents and employee information. Do not describe that collection as cleared merely because the company can export it. This guide proposes questions for your advisers and prospective partner. It does not establish a lawful basis, determine consent requirements or provide legal clearance. Your location, the people and clients involved, and the records’ subject matter can change the analysis. Stop the commercial process if those questions cannot be resolved. - Separate company-created work from client and third-party materials. - Review employee and contractor IP provisions with appropriate advisers. - Check customer confidentiality, professional obligations and platform export terms. - Identify who within the company has authority to approve this transaction. ## Minimize scope before transferring a sample Appen and Centific describe scoping and exclusions before extraction, followed by review of a transformed sample. That is a useful sequence to ask about: determine the permitted boundary first, then test what will cross it. It is not a substitute for checking the actual agreement and implementation. An NDA alone should not be treated as permission to disclose records that you are not entitled to share. Start with a metadata-only description. If a sample is requested, agree its purpose, recipients, protections and retention before preparing it. - Exclude credentials, keys and secrets; review historical versions as well as current files. - Flag privileged communications and regulated or highly sensitive records for specialist review. - Narrow date ranges and teams to the workflow actually under consideration. - Keep an exclusion register showing who approved each boundary and why. Source: Appen: Enterprise Data — https://www.appen.com/enterprise-data Source: Centific: Enterprise Data — https://www.centific.com/enterprise-data ## Ask what “anonymized” means in this transaction The UK ICO states that pseudonymised personal data remains within data-protection law and warns against confusing pseudonymisation with anonymisation. Its guidance is under review following legislative changes. This is UK-specific guidance, not a complete legal test for every country where a seller or buyer operates. Troveo’s timeline describes replacing names and personal details with pseudonyms. That is more specific than the general promise to anonymize on its business-data page. Ask how identifiers, free text, unusual events and links across systems are handled, and who evaluates residual identification risk. Do not assume that removing obvious names makes every record safe or unrestricted. - Request a documented transformation standard and sample-review process. - Ask who holds any mapping information and whether recipients can combine datasets. - Determine how indirect identifiers and small or unusual groups are assessed. - Require a process for reporting and correcting a missed sensitive field. Source: UK ICO: Pseudonymisation — https://ico.org.uk/for-organisations/uk-gdpr-guidance-and-resources/data-sharing/anonymisation/pseudonymisation Source: Troveo: Business Data — https://www.troveo.ai/business-data Source: Troveo: How Long Does It Take to License Company Data? — https://www.troveo.ai/resources/how-long-to-license-company-data ## Draw the complete access and recipient map Mercor describes scoped, read-only connections, isolated credentials and automated extraction. Troveo describes guided exports without OAuth. Both approaches require an access review: a connection can be too broad, and an export can contain more than intended. Read-only access prevents certain changes but does not mean nothing is copied. Ask the partner to identify the raw-record recipient, preparation environment, subcontractors and downstream buyer or buyer categories. Distinguish vendor security claims from evidence you or your adviser have actually reviewed. LicenseTheData.com has not audited the providers’ security controls. - Record processing locations, transfer methods and credential-revocation steps. - Ask about encryption, access logging, incident handling and named responsible contacts. - Clarify whether people can inspect raw records at any stage. - Identify approval gates before prepared records leave for a buyer. Source: Mercor: Enterprise Workflow Data — https://www.mercor.com/data Source: Troveo: Business Data — https://www.troveo.ai/business-data ## Review rights and deletion together micro1 says underlying ownership remains with the company and retention and deletion follow agreed terms. That statement leaves questions for the agreement: how long each recipient retains each copy, what survives termination and what downstream uses continue. Ownership retention is not a promise of revocability or limited model rights. Request separate rules for raw records, prepared data, backups, mapping information, derived products and completed training. Do not tell clients or employees that source deletion will necessarily undo a model’s prior use. Ask what the provider can actually require and verify at downstream recipients. - Specify permitted purposes and onward licensing rather than relying on “AI use.” - Check competitor access, publicity and whether the company can be identified indirectly. - Request retention deadlines and deletion evidence where applicable. - Read warranties, indemnities and liability allocation alongside the privacy promises. Source: micro1: Enterprise Data Partnerships — https://www.micro1.ai/data-partnerships ## Use a signed-off decision record Before transfer, assemble the approved scope, exclusion register, ownership review, privacy assessment, transformed sample approval and executed terms. Name the people responsible for technical access, contract approval and monitoring any continuing obligations. This is a proposed governance record, not a claim that completing a checklist makes a transaction compliant. Do not proceed if a necessary permission is missing, client obligations are incompatible with licensing, residual privacy risk cannot be acceptably addressed or the buyer will not clarify downstream rights. A decision to narrow, defer or decline is evidence of a functioning review process—not a failure to monetize. # When do you get paid for licensing business data? https://licensethedata.com/guides/getting-paid-timeline/ Separate response, signing, extraction, delivery, acceptance and cash receipt before relying on a timeline. 4 minute read. ## There is more than one clock The date you ask about licensing is not usually the date a published payment interval starts. Mercor’s inspected FAQ describes wire payment upon delivery of the anonymized dataset to the buyer, typically 2–4 weeks from a signed agreement. Appen’s two-business-day statement concerns a response, while payment is on acceptance. A timeline is useful only with its start event, end event, conditions and scope. Do not compare a response promise with a payment estimate or an accepted contribution with cash in a bank account. Record each stage separately, including stages for which the provider gives no interval. Source: Mercor: Enterprise Workflow Data — https://www.mercor.com/data Source: Appen: Enterprise Data — https://www.appen.com/enterprise-data ## Stage 1: inquiry, qualification and scoping At this stage the provider decides whether the company, records and current demand fit. Appen says it responds within two business days. That does not mean an offer, acceptance or payment arrives within two days. micro1 describes evaluation followed by discovery and an agreement if approved, but its inspected page provides no quantified payment schedule. Have a system inventory and restrictions summary ready. Ask what information is required to qualify, whether an NDA precedes substantive discussion and whether a buyer is already interested. Do not promise staff or shareholders a payment date on the basis of an intake confirmation. - Track first inquiry and first substantive response separately. - Record the scope still awaiting agreement and approvals. - Ask whether qualification depends on an active buyer request. - Treat unpublished timing as unknown, not evidence that a provider is slower. Source: Appen: Enterprise Data — https://www.appen.com/enterprise-data Source: micro1: Enterprise Data Partnerships — https://www.micro1.ai/data-partnerships ## Stage 2: agreement, access and preparation Signing may start a provider’s advertised clock, but only after the agreement defines the records and required work. Mercor’s 2–4-week estimate is anchored to signing and buyer delivery. Troveo says in-demand datasets can reach first payout in under a month from a signed deal; its timeline also states that buyer demand sets the pace of the first sale. These are provider estimates, not independently verified distributions or universal guarantees. Ask whether the estimate assumes access is immediately available, scope stays unchanged and the sample passes review. Export permissions, expired subscriptions or unresolved exclusions may need attention before work can proceed. Source: Mercor: Enterprise Workflow Data — https://www.mercor.com/data Source: Troveo: How Long Does It Take to License Company Data? — https://www.troveo.ai/resources/how-long-to-license-company-data ## Stage 3: review, acceptance and buyer delivery Appen says payment is on acceptance. Centific likewise describes payment on acceptance and says most partnerships reach a first accepted contribution in 6–10 weeks. That interval concerns an accepted contribution, not necessarily receipt of cash by the end of week ten. Ask who accepts the contribution, what objective criteria apply and whether the seller can fix a rejected sample. Distinguish seller approval of a prepared sample from buyer acceptance of a delivered dataset. The two approvals protect different interests and may occur at different times. - Request a deadline for acceptance or rejection where negotiable. - Ask how corrections affect payment and any schedule. - Clarify whether partial acceptance produces partial payment. - Identify the consequence if preparation succeeds but no buyer proceeds. Source: Appen: Enterprise Data — https://www.appen.com/enterprise-data Source: Centific: Enterprise Data — https://www.centific.com/enterprise-data ## Stage 4: payment processing and repeat revenue Mercor identifies wire payment as its method. The inspected Appen and Centific descriptions establish an acceptance trigger, not a verified universal number of days from acceptance to bank receipt. Ask for the contractual due date, invoicing requirements, currency, tax documentation and responsibility for any bank charges. Troveo describes payment on each sale, including repeat products. A repeat-sale model requires a second set of questions: what counts as a sale, how your share is calculated, when reporting occurs and when funds become due. Our research did not establish a currently verified Troveo percentage. Do not treat the prospect of repeat sales as scheduled recurring income. Source: Mercor: Enterprise Workflow Data — https://www.mercor.com/data Source: Appen: Enterprise Data — https://www.appen.com/enterprise-data Source: Centific: Enterprise Data — https://www.centific.com/enterprise-data Source: Troveo: Business Data — https://www.troveo.ai/business-data ## Build a conservative cash-planning record Write down inquiry, qualification, signing, access enabled, extraction complete, seller sample approval, buyer delivery, acceptance, payment due and payment received. Leave unavailable dates blank. Beside each forecast, label whether it is public marketing, an informal estimate or a binding contractual obligation. Until an acceptable agreement establishes a payment obligation and its conditions, avoid relying on licensing proceeds to cover urgent operating expenses. This is general planning guidance, not financial advice. If your business needs cash by a specific date, tell the provider and assess whether its actual terms can meet that need. - Ask what can delay each stage and who controls that dependency. - Keep staff effort separate from elapsed calendar time. - Do not reset the timeline silently when scope changes. - For subsequent sales, maintain a separate reporting and payment schedule. # How to prepare business records for a licensing discussion https://licensethedata.com/guides/prepare-business-records/ Create a useful inventory and controlled sample plan without prematurely exporting sensitive material. 4 minute read. ## Prepare a description first, not a bulk upload Appen and Centific describe choosing scope before extraction and reviewing a transformed sample before use. That sequence supports a practical first step: describe what exists and what cannot be shared before moving records. Do not invest in a large export simply because a program advertises that preparation is easy. The initial output can be a short internal inventory rather than a dataset. Give an authorized reviewer enough information to evaluate fit, ownership, privacy and effort. Keep raw records in their existing controlled systems while those questions are open. Source: Appen: Enterprise Data — https://www.appen.com/enterprise-data Source: Centific: Enterprise Data — https://www.centific.com/enterprise-data ## Inventory workflows and systems together Appen lists documentation, decision and escalation records, and structured records such as warehouses and ledgers. Centific emphasizes links between the deal, thread, approval and invoice. Organize your inventory around those relationships: a system name alone does not explain what the records show. For each candidate workflow, identify the trigger, decisions, hand-offs, exceptions and outcome. Then list the tools holding those elements. This reveals where context is missing and where sensitive details are embedded. It also helps distinguish a complete history from a folder of final documents. - Record system, workflow, record types, date range and approximate counts. - Note links or keys connecting tickets, messages, documents and transactions. - Describe revisions and outcomes, including failed or reopened work. - Identify an internal owner who understands the workflow and its limitations. Source: Appen: Enterprise Data — https://www.appen.com/enterprise-data Source: Centific: Enterprise Data — https://www.centific.com/enterprise-data ## Attach a rights and exclusions register Create a separate register for ownership evidence and restrictions. Suggested fields include creator, controlling entity, client contract, third-party license, employee or contractor terms, personal-information categories and review status. These are proposed fields for diligence; they do not themselves establish legal permission. Use clear states such as cleared for this proposed use, excluded, or needs review. Avoid a single “safe” label. A record can be owned by the company yet contain information that cannot be disclosed under a client contract. It can also be useful after a narrow transformation but not suitable for a broader use. - Do not include credentials or confidential sample text in the inventory. - Separate personal information from commercially sensitive and client-owned content. - List systems or periods that must remain out of scope. - Assign unresolved items to someone authorized to obtain advice or evidence. ## Document quality without erasing the real history Appen explicitly seeks failure and recovery paths such as reopened tickets and rejected approvals. Do not remove those simply to make an archive look tidy. The useful preparation task is to describe the history accurately, not to fabricate a clean success narrative. As an internal proposal, record missing periods, duplicate exports, timestamp conventions, changed schemas and broken links. Preserve the original records under existing controls. If a later approved preparation process transforms or filters data, document what changed so a buyer is not misled about completeness. - Add a plain-language glossary for internal shorthand and status labels. - Explain known gaps and system migrations. - Distinguish original notes from any later annotations. - Keep a versioned manifest of the approved dataset and transformations. Source: Appen: Enterprise Data — https://www.appen.com/enterprise-data ## Plan access and sample review with the partner Mercor describes read-only system connections; Troveo uses guided exports without OAuth. Before choosing either, ask which permissions or export settings are needed, who receives raw content and how your exclusions are enforced. Do not grant broad administrator access simply to speed up scoping. A sample plan should define the records selected, the purpose of review, who sees them, the transformations and the retention period. Appen and Centific describe seller review of a transformed sample. Ask to understand both the privacy result and how much useful workflow context survived. - Use authorized technical staff to check the exact access boundary. - Confirm whether historical attachments and versions are included. - Agree where transformations happen and how errors are corrected. - Record the sample approval before authorizing downstream delivery. Source: Mercor: Enterprise Workflow Data — https://www.mercor.com/data Source: Troveo: Business Data — https://www.troveo.ai/business-data Source: Appen: Enterprise Data — https://www.appen.com/enterprise-data Source: Centific: Enterprise Data — https://www.centific.com/enterprise-data ## Account for the work that remains yours Centific says it covers extraction, anonymization and transfer without setup fees or deductions. That is a provider-cost claim, not evidence that an owner has nothing to do. Internal approval, client-contract review, permissions and sample decisions still need responsible people. Set a time budget and a decision point. If you cannot establish authority, preserve useful context after exclusions or obtain an acceptable written offer, stop rather than paying for speculative preparation. The intended result of this process is a well-scoped decision—not an export at any cost. - Produce an inventory, workflow summary, exclusions register and unresolved-question list. - Name the signatory, technical owner and sample approver. - Ask for written scope and economics before substantial extraction. - Keep every proposed sample inside existing controls until transfer is authorized. Source: Centific: Enterprise Data — https://www.centific.com/enterprise-data # Spirit Airlines' data bids: what $7.5M, $10M and $12.5M actually establish https://licensethedata.com/blog/spirit-airlines-data-bids/ Court filings document competing offers for deidentified records. They do not establish a completed payout or a price comparable for a small business. Published 2026-10-14. 4 minute read. ## Three amounts, three precisely named stages Spirit's August 14, 2026 auction notice identifies Google LLC as the successful bidder with $10 million total consideration and Mercor.io Corporation as the alternate bidder with $7.5 million. The notice expressly makes the transaction subject to court approval. It attaches forms of sale agreements, not evidence that funds have reached the seller. In a September 3, 2026 filing, micro1 proposes a competing $12.5 million cash purchase of the deidentified data. Fortune's September 14 report describes the competing amounts. These sources document bids and a proposal, not proof of closing or payment. This article uses historical August and September evidence; it does not claim those bids were made during our October research run. - Google: successful bidder selected at the August auction, subject to approval. - Mercor: alternate bidder at that auction. - micro1: subsequently proposed competing purchase. Source: Court auction notice, docket 1463, pages 1–2 — https://cdn.arstechnica.net/wp-content/uploads/2026/08/In-RE-Spirit-Aviation-Bankruptcy-Notice-of-Auction-Results-8-14-26.pdf Source: micro1 competing-bid notice, docket 1556, pages 1–3 — https://cdn.arstechnica.net/wp-content/uploads/2026/09/In-RE-Spirit-Aviation-Holdings-Micro1-Competing-Bid-9-3-26.pdf Source: Fortune: competing Spirit data bids, September 14 — https://fortune.com/2026/09/14/micro1-tries-to-beat-googles-bid-to-buy-bankrupt-spirit-airlines-data-for-12-5-million-highlighting-value-of-data-to-ai-companies/ ## A large bankruptcy corpus is not an SMB valuation The auction concerns a specific deidentified-data asset in Spirit's bankruptcy proceeding. Neither filing supplies a per-employee, per-document or per-year price schedule for other companies. Nor does it establish which provider offers the best net terms to an ordinary operating-business seller. The narrow inference is that several counterparties expressed priced interest in this particular asset. Our recommendation is to use that as evidence that operating records can attract commercial interest, while keeping the dataset, transaction stage and proposed rights visible. It is not a forecast for your support tickets, CRM history or internal wiki. Source: Court auction notice: specific deidentified-data sale — https://cdn.arstechnica.net/wp-content/uploads/2026/08/In-RE-Spirit-Aviation-Bankruptcy-Notice-of-Auction-Results-8-14-26.pdf ## The diligence story is as important as the price micro1's filing describes pending objections concerning employee-record confidentiality and vendor intellectual property. It proposes exclusions for sensitive employment material, restrictions on profiling and onward transfer, independent sample review and an airline-operations field-of-use restriction. Those are a bidder's descriptions and proposed protections, not findings that every concern was resolved or terms that apply to every micro1 partnership. For an owner, the useful questions are concrete: whose information is in the archive, whose IP is embedded in it, which downstream uses are permitted and who can require exclusions? Deidentifying names does not by itself answer ownership, employee confidentiality or a vendor's contractual rights. Ask your advisers to review those issues for your actual records and jurisdiction. - Map employee, customer and third-party rights separately. - Ask about prohibited uses and downstream recipients, not just removal of names. - Record sample-review and exclusion rights before transfer. - Do not copy a bankruptcy bid's proposed clauses as universal legal protection. Source: micro1 bid: objections and proposed protections, pages 2–6 — https://cdn.arstechnica.net/wp-content/uploads/2026/09/In-RE-Spirit-Aviation-Holdings-Micro1-Competing-Bid-9-3-26.pdf ## What would upgrade a bid into payment evidence? A later approval order, executed closing documentation and evidence of funds received would answer different questions from these notices. We did not establish subsequent closing or receipt in this research pass. Do not read that limitation as a claim that the transaction never closed, or that its September status remains current. Keep a transaction's stages separate: expression of interest, bid, selected bidder, approval, execution, delivery and payment. A provider-hosted claim of completed transactions or aggregate rights-holder payouts can be relevant context, but it does not replace named seller evidence or a representative payout distribution. # micro1's $1B enterprise-data commitment: what it means for business owners https://licensethedata.com/blog/micro1-billion-dollar-data-commitment/ A large acquisition commitment signals interest in operating records, not a guaranteed offer or a typical seller payout. Here is what to ask next. Published 2026-10-14. 4 minute read. ## A commitment, not completed spending micro1 says it is committing $1 billion over the next 12 months to acquiring and licensing enterprise operational data through its Company Data Partnerships program. It says capital provided by Citi and Hercules Capital finances the initiative. These are first-party announcement claims, not an independent audit of financing, expenditure or completed seller payments. For an owner, the useful signal is the stated focus on real operating records. The announcement is a commitment, not completed spending. It is not an offer to your company, does not reveal a typical payout and does not establish an acceptance rate. Do not divide a headline acquisition budget into an imagined price per business. Source: micro1: $1B enterprise-data acquisition commitment — https://www.micro1.ai/blog/micro1-commits-1b-to-enterprise-data-acquisition ## Why connected operating history matters The announcement describes using de-identified company data to build reinforcement-learning environments reflecting real operations. Its stated purpose is to let models and agents navigate workflows, make decisions and complete complex tasks. micro1 emphasizes incomplete information, competing priorities and exceptions that require judgment. That is a more specific proposition than buying arbitrary files. Our preparation suggestion is to describe a completed workflow: the starting request, information available at each step, decisions, approvals, exceptions and outcome. A linked support case or project history may explain those relationships; an isolated final report may not. This is an inventory framework, not a claim that any particular archive will qualify. - Describe the workflow before attaching records. - Identify missing history and broken links honestly. - Keep client-owned material, personal information and secrets out of an initial inquiry. Source: micro1: stated use of company data — https://www.micro1.ai/blog/micro1-commits-1b-to-enterprise-data-acquisition ## The eligibility filter still applies The inspected enterprise-partnership FAQ seeks operationally mature companies with 30+ employees, established documentation and high-quality records such as SOPs, knowledge bases, CRM data and project histories. It says US companies are prioritized, followed by other Western markets. A broad acquisition announcement does not erase these published program criteria. If your business falls outside that description, ask the data team about fit before investing in extraction. Meeting the description still does not establish acceptance, price or permission to disclose the records. Worker recruitment, expert-task compensation and referral payments are separate from this company-data opportunity. Source: micro1: Enterprise Data Partnership FAQ — https://www.micro1.ai/data-partnerships ## Five questions before you transfer anything Use the announcement to open a specific qualification conversation, not to justify a bulk upload. The following are our diligence questions, not claims that micro1 offers each protection. - Is there current demand for our specific workflow, industry, period and record languages? - Who is the contracting entity, and who receives raw records versus transformed material? - What is the written payment obligation, acceptance test and due date? - Which uses, downstream recipients, derivatives and exclusivity restrictions would the license permit? - What happens to records and payment if preparation finishes but the contribution is rejected? ## What this research does not establish The public-source research run for September 14 to October 14, 2026 surfaced discussion and adjacent technology coverage, but did not establish an independently evidenced payout for a named ordinary-business seller in this program. Promotional discussion of advertised amounts is not a receipt, a representative payout distribution or an independent seller review. Our conclusion is deliberately limited: micro1 has published an acquisition commitment and a company-data intake proposition worth evaluating against your circumstances. Obtain a scoped written offer, resolve authority and confidentiality obligations, and compare the rights purchased before treating licensing proceeds as available cash. This analysis was published October 14, 2026; that is our publication date, not a claimed transaction date. Source: micro1: original acquisition announcement — https://www.micro1.ai/blog/micro1-commits-1b-to-enterprise-data-acquisition # Six-figure data offers: what the headline does and does not tell you https://licensethedata.com/blog/advertised-payouts-vs-seller-outcomes/ An evidence ladder for separating advertised compensation, indicative estimates, written offers and money actually received. Published 2026-10-13. 4 minute read. ## A large advertised number answers a narrow question micro1’s data-partnership page advertises $100k+, $500k+ and $1M+ tiers for differently described contributions. Handshake advertises partnerships from $100K to $4M+ depending on the data. These statements show that providers are positioning operational data as a potentially substantial transaction. They do not establish what a typical applicant receives. The analytical mistake is to turn a provider’s advertised tier into a seller outcome. An owner still needs to know which businesses qualify, what rights the amount purchases, what conditions apply and whether the number represents one payment or a longer arrangement. micro1’s inspected page does not specify a period for its tier amounts. Source: micro1: Enterprise Data Partnerships — https://www.micro1.ai/data-partnerships Source: Handshake AI: Data Partnerships — https://joinhandshake.com/ai/data-partnerships ## Use four evidence levels instead of one “payout” label We propose an evidence ladder that makes the commercial stage explicit. An advertisement says what a provider promotes. An indicative estimate applies a model or calculator to limited inputs. A written offer proposes an amount for a particular scope and set of conditions. A received payment documents money arriving under a transaction. Handshake itself says its calculator is indicative and not an offer. That distinction should remain visible when someone shares a screenshot. An estimate can be useful for a scoping conversation without being evidence of what a buyer is obligated to pay. - Advertisement: attribute the number to the provider and preserve its stated scope. - Indicative estimate: show the assumptions and the not-an-offer qualification. - Written offer: record dataset scope, rights, deductions and acceptance conditions. - Received payment: verify the payment stage without assuming it represents a typical seller. Source: Handshake AI: Data Partnerships — https://joinhandshake.com/ai/data-partnerships ## A genuine partnership can still be an unsuitable comparable Protege publishes a Gradient Health case describing seven-figure net-new revenue in under a year. Gradient’s own announcement confirms the partnership and supply of millions of de-identified medical-imaging studies, but does not disclose the revenue amount. The relationship has seller-side corroboration; the published revenue figure remains provider-hosted reporting. That distinction matters twice. First, corroborating the partnership is not the same as independently auditing the payment. Second, a specialized imaging supplier is not a price comparable for a small company’s support-ticket archive. A real case can demonstrate possibility without supporting a general SMB valuation. Source: Protege: Gradient Health Partnership Case — https://withprotege.ai/articles/blog/gradient-health-and-protege-partner-to-bring-multi-modal-scale-and-data-diversity-to-healthcare-ai Source: Gradient Health: Protege Partnership Announcement — https://gradienthealth.io/blog/gradient-health-partners-protege ## Repeat-sales language is not a scheduled cash stream Troveo says licensors earn on every sale and displays an illustrative example with an actual-terms disclaimer. Its timeline makes buyer demand part of the pace of first payment. The business model can involve additional sales, but the existence, timing and amount of those sales must not be assumed. For any repeat-sale offer, request the definition of revenue, your share, permitted expenses, reporting frequency, payment due dates and audit provisions. A current Troveo share percentage was not verified in our research. Do not fill that gap with an indexed clause from a license-agreement URL that returned a 404. Source: Troveo: Business Data — https://www.troveo.ai/business-data Source: Troveo: How Long Does It Take to License Company Data? — https://www.troveo.ai/resources/how-long-to-license-company-data ## The missing denominator changes what you can conclude In the research supporting this draft, we did not locate independently evidenced named small-business operating-data payouts for the core programs reviewed. That is a limitation of the research, not a claim that no company has been paid. We also lack an accepted-applicant denominator or a representative achieved-payout distribution. Without that denominator, a successful transaction cannot establish a success rate. Without comparable rights and scope, an amount cannot establish your records’ value. Avoid “average earnings,” expected-income calculators and rankings based on the largest advertised figure. ## What an owner can do with imperfect evidence Use public amounts as a reason to ask better questions, not as a forecast. Ask whether there is current demand for your particular records and request a written offer with explicit acceptance and rights terms. Compare retained proceeds and obligations only after the scopes are aligned. This is a LicenseTheData.com educational analysis published on October 13, 2026, not a report of a transaction completed on that date. We have not received a licensing offer for the reader’s business, verified a payment for it or performed legal review. - Keep marketing, estimates, offers and receipts in separate fields. - Do not substitute provider hiring reviews for business-data seller evidence. - Treat missing contractual details as questions, not favorable assumptions. # A managed data partner, a marketplace or a matchmaker: which job do you need done? https://licensethedata.com/blog/data-buyer-vs-marketplace/ Compare routes by who scopes the records, prepares the dataset, finds demand and negotiates the deal—not by brand labels. Published 2026-10-13. 4 minute read. ## The word “marketplace” hides different services A business owner asking where to sell data may actually need several jobs done: establish eligibility, define a licensable scope, prepare records, locate buyers, negotiate rights and collect payment. A service can handle one of those jobs without handling all of them. Mercor describes scoping, system connections, extraction, anonymization and payout as a managed workflow. Datarade promotes provider listings and buyer discovery. Nomad describes matching sellers to buyer requests and direct negotiations. These are different published propositions, not quality rankings. Source: Mercor: Enterprise Workflow Data — https://www.mercor.com/data Source: Datarade: Data Marketplace — https://datarade.ai Source: Nomad Data: Data Sellers — https://www.nomad-data.com/data-sellers ## Managed preparation: useful when records are not yet a product Mercor’s published process connects selected tools and prepares operational records. Appen describes scope agreement, extraction, representative sample approval and licensing. An owner with useful histories but no packaged dataset may want this preparation layer. The analytical tradeoff is that preparation requires a clear access and responsibility map. Ask who receives raw content, how exclusions are enforced and whether the partner is the contracting buyer, an intermediary or both at different stages. Marketing that says “we pay you” does not by itself answer who ultimately receives rights. - Ask whether the partner handles format conversion and links across systems. - Request the precise approval gate before downstream use. - Separate the preparation obligation from the obligation to find a buyer. - Confirm what happens if preparation finishes but no acceptable sale follows. Source: Mercor: Enterprise Workflow Data — https://www.mercor.com/data Source: Appen: Enterprise Data — https://www.appen.com/enterprise-data ## Provider discovery: visibility is not purchase intent Datarade invites providers to list data and lets buyers explore categories and providers. That is evidence of a discovery route, not a commitment to acquire an operating company’s archive. A published listing alone does not establish that an AI lab wants the records. Our route-selection proposal is to ask whether you can already explain the dataset, rights, coverage, quality and delivery format. If not, buyer discovery may come before you are ready to answer due-diligence questions. Do not assume a listing service will resolve missing permissions or perform transformation unless its terms say so. Source: Datarade: Data Marketplace — https://datarade.ai ## Matching: demand may be clearer, but the seller still negotiates Nomad says it routes buyer requests whose needs match the seller’s supply, does not need access to the data and charges no usage or transaction fees. It says the seller negotiates directly, controls the contract and keeps 100% of the sale. Those are useful distinctions from a preparation-led workflow. They also leave a different workload. Direct negotiation still requires someone to answer technical, privacy and contract questions. A matched lead is not a completed sale, and a no-transaction-fee claim is not a promise that preparation or outside advice costs nothing. Confirm the actual terms and responsibilities before relying on the route. Source: Nomad Data: Data Sellers — https://www.nomad-data.com/data-sellers ## Access method is a separate axis Do not collapse exports and connectors into the route category. Troveo describes managed packaging and buyer conversations using guided exports without OAuth. Mercor describes read-only system connections. Both offer preparation help, but how the source material reaches the preparation environment differs. For illustration, an owner with linked ticket and CRM histories but no data-product team might investigate managed preparation first. An owner with an already-cleared, documented dataset and a sales team might investigate matching or discovery. These are hypothetical decision paths, not reported customers, endorsements or assurances of acceptance. Source: Troveo: Business Data — https://www.troveo.ai/business-data Source: Mercor: Enterprise Workflow Data — https://www.mercor.com/data ## Compare the jobs, then the terms Use a responsibility matrix rather than a universal winner. Put scoping, rights review, extraction, transformation, sample approval, buyer acquisition, contracting and payment in separate rows. Mark who performs each job and what evidence supports that assignment. Leave unresolved responsibilities blank until clarified. Finally compare buyer scope, net economics and ongoing obligations. A service with more steps handled for you may still propose unacceptable rights. A direct route may preserve negotiation control but require more internal capacity. Neither route removes the need for ownership, confidentiality and privacy diligence. - Require written responsibility for each material stage. - Ask which steps are conditional on finding demand. - Compare fees and revenue share only with the proposed scope visible. - Decline routes that leave critical permissions or handling responsibilities unresolved. # Why do data programs ask how many people you employ? https://licensethedata.com/blog/why-company-size-criteria-matter/ Headcount is a program filter, not a valuation formula. Understand what it can signal and what it cannot prove. Published 2026-10-13. 4 minute read. ## Two real filters, not a universal market minimum micro1’s Enterprise Data Partnership targets operationally mature businesses with 30+ employees and established documentation. Handshake’s intake seeks 20+ full-time employees and at least three years of operation. The qualifiers matter: workforce size and operating history are different requirements, and employee definitions are not identical. Do not convert either program’s criteria into a statement that smaller businesses have no useful records. Conversely, do not treat the lack of a published threshold at another provider as confirmation that it accepts a smaller team. Eligibility remains a question until that program confirms fit. Source: micro1: Enterprise Data Partnerships — https://www.micro1.ai/data-partnerships Source: Handshake AI: Data Partnership Intake — https://joinhandshake.com/ai/data-partnerships/license ## What headcount may be standing in for micro1 couples its employee target with mature operations, documentation and workflow quality. Appen describes demand for approval chains, exceptions and the reasoning behind decisions. Taken together, those public descriptions support a narrower observation: buyers are interested in organizational work patterns, not just the number of names on a payroll. Our analysis is that headcount can be a convenient screening proxy for the chance of finding multi-person workflows and substantial records. That is an interpretation, not a provider’s published causal model. It should not be used to multiply a team size into a price estimate. - A larger team may have more recorded hand-offs, but documentation still needs checking. - An established business may have long histories, but history can have gaps. - A specialized smaller team may have distinctive workflows, but buyer demand remains unconfirmed. Source: micro1: Enterprise Data Partnerships — https://www.micro1.ai/data-partnerships Source: Appen: Enterprise Data — https://www.appen.com/enterprise-data ## Workforce size cannot prove rights or readiness A company meeting the numeric filter still has to define what it controls and what it can disclose. The payroll count says nothing about whether client work belongs to the client, contractor IP has been assigned or employee records can be used for the proposed purpose. These are independent diligence questions. Use the employee threshold as an early fit check, not a substitute for legal, privacy or technical assessment. If you pass the threshold, the next useful description is your workflow and available history. If you do not pass it, avoid investing in exports for that particular program unless it confirms a relevant alternative. ## A 20–29-person business needs a precise question For a hypothetical business with 25 full-time employees and four years of operation, Handshake’s published intake criteria fit those two facts. That is not approval: data quality, rights, demand and other diligence still matter. The same business does not meet micro1’s published 30+ employee enterprise target. This is why an owner-facing comparison should show the actual criteria instead of a generic “small businesses welcome” label. Ask a program whether the relevant count is current full-time staff, historical workforce, contractors or another definition. Do not inflate the number or silently substitute one category for another. Source: micro1: Enterprise Data Partnerships — https://www.micro1.ai/data-partnerships Source: Handshake AI: Data Partnership Intake — https://joinhandshake.com/ai/data-partnerships/license ## Country and language are separate from size micro1 says it prioritizes US companies followed by other Western markets, and its inspected program FAQ primarily seeks English operations and documentation. Company representatives must be able to communicate with its team in English. A company meeting the headcount filter can still be outside present demand. A global referral route is not the same as global seller acceptance. For a business outside the program’s priority markets, ask about processing locations, allowed seller countries and the languages actually needed for the buyer’s use case. Do not infer a country whitelist from a calculator menu. Keep geographic eligibility and cross-border privacy review as separate decisions. Source: micro1: Enterprise Data Partnerships — https://www.micro1.ai/data-partnerships ## Describe evidence of maturity instead of chasing a bigger number Prepare a concise account of operational history: which recurring tasks are documented, which systems link decisions to outcomes and which periods are complete. As an editorial proposal, this is more useful than claiming your company is “data rich” without explaining the records. The practical result is a better qualification conversation. You can establish that a particular program is a poor fit without concluding your records are worthless, or meet its numeric criteria without assuming an offer is coming. No workforce band supplies an expected income figure. - State staff count honestly and identify the counting basis. - Give the operating-history period and known record gaps. - Name the workflow, not just the industry. - Ask which current buyer requirement your company might satisfy. # FAQ ## Does micro1's $1B commitment guarantee an offer for our company? No. micro1 announced a commitment to acquire and license enterprise operational data over the next 12 months. That is a company spending announcement, not completed expenditure, an acceptance rate or an offer to your business. Its published enterprise FAQ still targets mature companies with 30+ employees and established documentation. Ask about your specific workflow, current demand and a scoped written offer before transferring records. Sources: https://www.micro1.ai/blog/micro1-commits-1b-to-enterprise-data-acquisition, https://www.micro1.ai/data-partnerships ## Are the Spirit Airlines data bids verified seller payouts? No. The August 14, 2026 auction notice records Google's $10 million successful bid and Mercor's $7.5 million alternate bid, subject to court approval. micro1's September 3 notice proposes $12.5 million. Those filings document bids, not funds received. This research did not establish subsequent closing or payment, and a bankruptcy asset is not a small-business price comparable. Sources: https://cdn.arstechnica.net/wp-content/uploads/2026/08/In-RE-Spirit-Aviation-Bankruptcy-Notice-of-Auction-Results-8-14-26.pdf, https://cdn.arstechnica.net/wp-content/uploads/2026/09/In-RE-Spirit-Aviation-Holdings-Micro1-Competing-Bid-9-3-26.pdf ## Why would an AI company pay for an ordinary business’s records? Some programs seek records that show how real work is performed: procedures, approvals, escalations, decisions and outcomes. micro1 and Appen explicitly describe this demand. That creates a potential revenue opportunity from existing records, not a guarantee that your business qualifies or that a buyer wants every file you hold. Start by describing a useful workflow and the permissions you control. Sources: https://www.micro1.ai/data-partnerships, https://www.appen.com/enterprise-data ## Is this about doing paid AI training tasks as an individual? No. These articles address authorized businesses licensing existing operating records. The company-data programs are distinct from expert hiring, interviews, contractor work and referral rewards on some of the same providers’ websites. Check the data-program page and proposed company agreement rather than relying on worker payment terms or hiring reviews. Sources: https://www.micro1.ai/data-partnerships, https://www.mercor.com/data ## Can a company with fewer than 30 employees participate? Possibly in another program, but do not assume acceptance. micro1’s Enterprise Data Partnership targets 30+ employees. Handshake’s intake seeks 20+ full-time employees and at least three years in operation. A provider that publishes no minimum has not confirmed that it accepts your company. Ask about size, history, location and current demand before preparing exports. Sources: https://www.micro1.ai/data-partnerships, https://joinhandshake.com/ai/data-partnerships/license ## Does meeting the employee minimum guarantee an offer? No. micro1 couples its size target with mature operations, established documentation and high-quality records. Handshake says any payout depends on underlying sources, volume, quality, due diligence and acceptance of licensing terms. Treat headcount as an early program-fit check, not a valuation formula or promise of participation. Sources: https://www.micro1.ai/data-partnerships, https://joinhandshake.com/ai/data-partnerships ## Can a business outside the United States apply? Eligibility is program-specific. micro1 says it prioritizes US companies followed by other Western markets, and primarily seeks English operations and documentation with English-speaking representatives. Global referral acceptance is not global company acceptance. Ask the relevant data team about your seller country, record languages, processing locations and current demand; do not infer approval from a country menu. Sources: https://www.micro1.ai/data-partnerships ## Can a winding-down business license records? Some programs explicitly discuss winding-down companies. Appen includes them in its enterprise-data process. Centific says winding-down companies may use a dedicated asset-purchase agreement. Confirm authority, retained access and the proposed transaction type before systems are shut down; a wind-down offer may be a sale rather than an ownership-retaining license. Sources: https://www.appen.com/enterprise-data, https://www.centific.com/enterprise-data ## Which kinds of records might be useful? Published programs describe SOPs, knowledge bases, support and IT tickets, CRM histories, project records, messages, code and finance workflows. Usefulness depends on what they show, not just their format. Linked records that explain an approval or resolved exception may be more relevant than an isolated final document. Every category still needs ownership, confidentiality and privacy review. Sources: https://www.micro1.ai/data-partnerships, https://www.mercor.com/data, https://www.appen.com/enterprise-data ## Do we need to provide source code? Do not assume so. micro1 lists procedures, documentation, CRM and project histories. Appen lists several non-code operational categories. Turing’s Project Lazarus explicitly says code is not required and is not bought on its own. Ask the prospective partner which records support the current use case; exclude code if you cannot clear its IP, licenses or secrets. Sources: https://www.micro1.ai/data-partnerships, https://www.appen.com/enterprise-data, https://lazarus.turing.com ## Should we upload a sample in the first inquiry? Our recommendation is to begin with metadata: workflow description, system names, period, approximate counts and unresolved restrictions. Do not send raw records before establishing authority, recipients, purpose, handling and retention. An NDA should not be treated as permission to disclose client-owned or otherwise restricted material. Have an authorized reviewer approve any later sample. Sources: ## Should we clean out failed tasks and reopened tickets? Not simply to make the archive look better. Appen explicitly identifies failure and recovery paths, rejected approvals and reopened tickets as useful signals. Document missing or inconsistent records honestly and distinguish original history from later annotations. Preserve the source history under existing controls; transformation should follow an agreed scope rather than create a misleading success-only dataset. Sources: https://www.appen.com/enterprise-data ## What should a first inventory include? Use a workflow, system, date range, approximate count, link quality, known gaps and responsible internal owner for each candidate collection. Maintain a separate exclusions and rights-review register. Do not embed confidential examples, customer identities or credentials in the inventory. This is a preparation proposal, not evidence that the records are legally cleared or that any buyer will accept them. Sources: ## Are exports safer than connecting our systems? Not inherently. Troveo describes guided exports without OAuth; Mercor describes scoped, read-only connections. Compare the actual boundary, raw-data recipients, processing locations, logging and sample approvals. A read-only connection can still copy records, while an export can accidentally contain sensitive attachments or history. Choose the method only after its specific controls and responsibilities are understood. Sources: https://www.troveo.ai/business-data, https://www.mercor.com/data ## Can LicenseTheData.com estimate our expected income? No reliable expected-income figure is supported by this research. Public tiers and calculators are provider marketing or indicative estimates, not achieved payout distributions for ordinary businesses. Handshake expressly says its estimate is not an offer. Evaluate workflow depth, demand, rights and preparation effort, then request a scoped written offer instead of relying on a headcount or storage-size multiplier. Sources: https://www.micro1.ai/data-partnerships, https://joinhandshake.com/ai/data-partnerships ## What affects a buyer’s valuation? Published programs describe factors such as rarity, structure, history, size, quality and uniqueness. Appen and Centific emphasize connected records and operational context. Those are useful dimensions to describe, but they do not supply a universal dollar schedule. Ask how the particular buyer values the scope it is requesting and whether exclusions change its offer. Sources: https://www.micro1.ai/data-partnerships, https://www.appen.com/enterprise-data, https://www.centific.com/enterprise-data ## Are there setup or preparation fees? Appen, Mercor and Centific state that they cover extraction, anonymization and transfer without setup fees or deductions. Confirm those claims in your written offer. Do not extend them to every provider or assume that internal staff time and outside advice cost nothing. Ask for the complete gross-to-net calculation, including any commission, recurring share or bank-charge allocation. Sources: https://www.appen.com/enterprise-data, https://www.mercor.com/data, https://www.centific.com/enterprise-data ## Does Mercor pay 2–4 weeks after we contact it? No. Its published FAQ anchors the typical 2–4-week interval to a signed agreement and says wire payment is issued upon delivery of the anonymized dataset to the buyer, depending on extraction and processing time. Initial qualification and negotiation occur before that anchor. Confirm the applicable payment obligation, delivery conditions and due date in your agreement. Sources: https://www.mercor.com/data ## Does Appen’s two-business-day statement mean a quick payout? No. Appen describes a response within two business days. It separately says terms are agreed before extraction and payment is on acceptance rather than submission. Ask who accepts the contribution, what criteria apply and when payment becomes due after acceptance. Do not use the response interval as a cash-receipt forecast. Sources: https://www.appen.com/enterprise-data ## Does Centific’s 6–10-week interval guarantee cash by week ten? No. Centific says most partnerships reach a first accepted contribution within six to ten weeks and describes payment on acceptance. That is not a verified bank-receipt deadline for every seller. Ask for the acceptance definition, contractual payment due date and any invoicing requirements; track accepted contribution and received payment as separate events. Sources: https://www.centific.com/enterprise-data ## Is licensing revenue recurring? Only if the actual structure provides for it, and later payments may depend on later sales. Turing describes a single payout for Project Lazarus; Replay advertises upfront cash plus revenue share; Troveo describes earnings on repeat sales. Compare definitions, reporting, deductions and due dates. Do not treat possible repeat transactions as guaranteed monthly income. Sources: https://lazarus.turing.com, https://www.replay.ai, https://www.troveo.ai/business-data ## What percentage does Troveo pay the business? A currently verified revenue-share percentage was not established in this research. Troveo publicly says licensors share in each sale, but that is not enough to calculate net proceeds. Ask for the current agreement and any rider, including the revenue definition, share, deductions, reporting and payment deadline. We do not use indexed contract clauses from a page that returned a 404 as verified terms. Sources: https://www.troveo.ai/business-data ## Do we retain ownership when we license records? micro1 and Troveo publicly say underlying ownership remains with the company. Confirm the exact grant in your agreement. Retaining ownership does not itself establish non-exclusivity, narrow rights, cancellation rights or limited downstream use. Read the provisions for prepared data, derivatives, sublicensing, term and rights that survive termination. Sources: https://www.micro1.ai/data-partnerships, https://www.troveo.ai/business-data ## Can we keep using the records in our own business? Ask for express confirmation in the proposed agreement, including continued operations, product development and future licensing. Do not infer unrestricted reuse solely from an ownership-retention statement. Check whether exclusivity attaches to source records, a prepared version, future updates or particular uses. If internal rights are essential, have them recorded as explicit carve-outs. Sources: https://www.micro1.ai/data-partnerships, https://www.troveo.ai/business-data ## Is anonymized data automatically safe to license? No. Determine what transformation actually occurs, whether identification risks remain and whether IP or confidentiality restrictions still apply. The UK ICO says pseudonymised personal data remains within data-protection law and is not the same as anonymised data; its guidance is under review. That UK guidance does not settle every jurisdiction’s requirements. Get an assessment for the specific dataset and use. Sources: https://ico.org.uk/for-organisations/uk-gdpr-guidance-and-resources/data-sharing/anonymisation/pseudonymisation ## Do employees or customers need to consent? There is no universal answer supplied here. Have qualified advisers assess applicable law, notices, lawful bases, contractual restrictions and the proposed new purpose. Do not assume that collecting information during ordinary operations authorizes AI licensing, or that consent is always the only available basis. Pause transfer until the relevant obligations and permissions are resolved. Sources: ## What if the records include client work or confidential material? Separate those records for review before sending a sample. Identify ownership, customer contract restrictions, professional obligations and any permission needed for the particular use. A confidentiality agreement with a buyer does not automatically override your obligations to a client. If those restrictions cannot be cleared, exclude the material or decline the transaction. Sources: ## Will an AI lab see our raw records? Mercor, Appen and Centific publicly say labs or third parties do not see raw data in their described processes. Those are provider claims, not security audits performed by LicenseTheData.com. Ask who operates extraction and transformation, whether anyone can review content, and what your actual agreement permits. Other workflows should not inherit those assurances by association. Sources: https://www.mercor.com/data, https://www.appen.com/enterprise-data, https://www.centific.com/enterprise-data ## Can we cancel the license and undo model training? Do not assume either right. Ask separately about terminating future use, deleting raw and prepared copies, onward recipients and treatment of derivatives or completed training. An ownership-retention statement does not promise revocability. Seek explicit contractual provisions; do not promise that deleting source records reverses uses that have already occurred. Sources: https://www.micro1.ai/data-partnerships, https://www.troveo.ai/business-data ## What should we ask about exclusivity? Define its records, uses, buyers, territory, duration and treatment of future updates. Ask what the partner commits in exchange and whether there is an exit if a sale does not happen. Consider internal reuse and future buyers. These are negotiating questions, not protections we have confirmed in every provider’s agreement. Sources: ## Is a marketplace listing the same as a buyer offer? No. Datarade offers provider discovery and listings. Nomad describes routing buyer requests and direct negotiation. Neither a listing nor a matched lead establishes a completed deal or an obligation to buy your records. Ask who scopes, prepares, contracts for and pays for the dataset, rather than treating every route as a managed acquisition program. Sources: https://datarade.ai, https://www.nomad-data.com/data-sellers ## How should we compare two written offers? First align the records and rights each offer purchases. Then compare guaranteed and conditional cash, deductions, acceptance criteria, repeat-sale accounting, exclusivity, permitted uses, retention and liability. Keep staff and adviser effort separate. A larger gross amount is not necessarily better if it requires broader rights or unresolved handling obligations. This is an editorial comparison framework, not financial or legal advice. Sources: ## When should a business decline to license its records? Decline or pause when authority is uncertain, client restrictions cannot be cleared, privacy risks cannot be acceptably addressed, required exclusions destroy useful context, or the proposed rights would damage the business. Also stop if the effort exceeds your budget or no acceptable offer emerges. Additional revenue is a reason to investigate, not a reason to bypass obligations. Sources: ## Are these provider claims verified seller reviews? No. These articles distinguish primary program descriptions from received-payment evidence. The underlying research did not locate independently evidenced named small-business operating-data payouts for the core programs reviewed. That is a research limitation, not proof that nobody was paid. We do not repurpose hiring reviews, provider-hosted testimonials or aggregate licensor totals as independent SMB payment proof. Sources: ## What does the October 13, 2026 publication date mean? It is the publication date assigned to LicenseTheData.com’s educational draft articles. It does not imply that a provider launched, a payment occurred or a contract was legally reviewed on that date. Eligibility and commercial terms can change. Recheck the linked primary pages and obtain current written terms before making a decision. Sources: