Explore the evidence and the workflow
Navigate research notes, commercial questions and operational guidance.
Sources and guidance · Reviewed October 202666 resources
A practical route from archive to licensing conversation
An end-to-end workflow for preparing, evaluating and licensing data to AI companies.
Rights & safeguards · 02Check rights before you check price
Separate ownership, privacy, contracts and platform rules before licensing an archive.
Commercial decisions · 03What determines the price of training data?
A pricing framework that separates buyer budgets, indicative offers and completed licences.
Commercial decisions · 04The clauses that change the deal
A practical review agenda for AI data licensing terms, from permitted use to acceptance.
Commercial decisions · 05Direct outreach or a data broker?
Compare control, workload, economics and conflicts when choosing a route to market.
Rights & safeguards · 06De-identification is a review process
Plan privacy review beyond simple name and email removal.
Seller handbook · 07Preserve the archive before a company closes
A wind-down checklist for permissions, retention, export and potential licensing.
Market research · 08Find a relevant route to a buyer
A source-first starting point for researching AI data counterparties and their requirements.
Market research · 09Read public licensing deals in context
Two sourced examples of partnerships, and the limits of using them as comparables.
Rights & safeguards · 10Cross-border licensing starts with a jurisdiction map
Questions to resolve when the seller, subjects, buyer and processing locations span countries.
Buyer preparation · 11Write a better data acquisition brief
A local specification template for buyers planning responsible data acquisition.
Research · 12A transparent research method
How to evaluate sources and keep an evidence trail for AI data market claims.
Market research · 13Understand the market without a misleading headline number
Separate market segments, spending categories and evidence quality.
Research · 14Crawler access, discovery, and permission are different
Understand robots directives and the limits of controlling machine access.
About · 15Clearer decisions for data holders
About Sell Data to AI Labs and its evidence-first editorial approach.
Site information · 16Privacy for this static website
What the current site and its browser-only tools do with information.
Site information · 17Using this resource
The educational scope and limitations of the site and its local tools.
Platform preparation · 18Slack data exports: preparation and rights review
Prepare Slack records for an AI data licensing review: export scope, content risks, provenance, and a bounded pilot.
Platform preparation · 19Microsoft 365 data exports: preparation and rights review
Prepare Microsoft 365 records for an AI data licensing review: export scope, content risks, provenance, and a bounded pilot.
Platform preparation · 20Google Workspace data exports: preparation and rights review
Prepare Google Workspace records for an AI data licensing review: export scope, content risks, provenance, and a bounded pilot.
Platform preparation · 21Atlassian Jira and Confluence data exports: preparation and rights review
Prepare Atlassian Jira and Confluence records for an AI data licensing review: export scope, content risks, provenance, and a bounded pilot.
Platform preparation · 22GitHub data exports: preparation and rights review
Prepare GitHub records for an AI data licensing review: export scope, content risks, provenance, and a bounded pilot.
Platform preparation · 23GitLab data exports: preparation and rights review
Prepare GitLab records for an AI data licensing review: export scope, content risks, provenance, and a bounded pilot.
Platform preparation · 24Notion data exports: preparation and rights review
Prepare Notion records for an AI data licensing review: export scope, content risks, provenance, and a bounded pilot.
Platform preparation · 25Salesforce data exports: preparation and rights review
Prepare Salesforce records for an AI data licensing review: export scope, content risks, provenance, and a bounded pilot.
Platform preparation · 26HubSpot data exports: preparation and rights review
Prepare HubSpot records for an AI data licensing review: export scope, content risks, provenance, and a bounded pilot.
Platform preparation · 27Zendesk data exports: preparation and rights review
Prepare Zendesk records for an AI data licensing review: export scope, content risks, provenance, and a bounded pilot.
Platform preparation · 28ServiceNow data exports: preparation and rights review
Prepare ServiceNow records for an AI data licensing review: export scope, content risks, provenance, and a bounded pilot.
Platform preparation · 29Intercom data exports: preparation and rights review
Prepare Intercom records for an AI data licensing review: export scope, content risks, provenance, and a bounded pilot.
Platform preparation · 30Zoom data exports: preparation and rights review
Prepare Zoom records for an AI data licensing review: export scope, content risks, provenance, and a bounded pilot.
Platform preparation · 31QuickBooks data exports: preparation and rights review
Prepare QuickBooks records for an AI data licensing review: export scope, content risks, provenance, and a bounded pilot.
Platform preparation · 32Xero data exports: preparation and rights review
Prepare Xero records for an AI data licensing review: export scope, content risks, provenance, and a bounded pilot.
Platform preparation · 33NetSuite data exports: preparation and rights review
Prepare NetSuite records for an AI data licensing review: export scope, content risks, provenance, and a bounded pilot.
Platform preparation · 34Figma data exports: preparation and rights review
Prepare Figma records for an AI data licensing review: export scope, content risks, provenance, and a bounded pilot.
Platform preparation · 35Linear data exports: preparation and rights review
Prepare Linear records for an AI data licensing review: export scope, content risks, provenance, and a bounded pilot.
Cross-border preparation · 36United Kingdom data licensing preparation guide
Prepare a UK dataset for licensing: distinguish permission to train from the UK international-transfer route.
Cross-border preparation · 37Canada data licensing preparation guide
Separate Canadian outsourcing guidance from an independent AI-training disclosure and identify the applicable privacy regime.
Cross-border preparation · 38European Union data licensing preparation guide
A shared GDPR preparation guide covering Ireland, Germany, France, Netherlands, Spain, Italy, Sweden, Poland and Estonia.
Cross-border preparation · 39Switzerland data licensing preparation guide
Prepare Swiss transfer and transparency questions without assuming EU documentation covers the Swiss position.
Cross-border preparation · 40Australia data licensing preparation guide
Prepare an Australian licensing review around APP applicability, overseas disclosure and recipient accountability.
Cross-border preparation · 41South Korea data licensing preparation guide
Distinguish provision from consignment and prepare a Korean PIPA overseas-transfer review for AI data licensing.
Cross-border preparation · 42Malaysia data licensing preparation guide
Prepare a Malaysia-specific section 129 review using current cross-border guidance rather than an outdated transfer template.
Cross-border preparation · 43Israel data licensing preparation guide
Prepare Israeli database-transfer and onward-transfer questions before offering an AI training corpus abroad.
Cross-border preparation · 44United Arab Emirates data licensing preparation guide
Identify the applicable UAE, DIFC or ADGM regime before drafting a dataset licence or cross-border schedule.
Cross-border preparation · 45Mexico data licensing preparation guide
Use Mexico’s current private-sector law and reconstruct the notice and transfer permissions behind a dataset.
Cross-border preparation · 46New Zealand data licensing preparation guide
Distinguish overseas agency processing from disclosure for a lab’s own use under New Zealand’s privacy framework.
Cross-border preparation · 47India data licensing preparation guide
Prepare an Indian dataset review around current DPDP instruments, commencement dates and source-specific permissions.
Cross-border preparation · 48Singapore data licensing preparation guide
Prepare Singapore PDPA transfer-limitation evidence and distinguish independent licensing from data-intermediary services.
Cross-border preparation · 49Japan data licensing preparation guide
Prepare APPI foreign-recipient and information-category questions alongside a Japanese dataset’s rights and quality evidence.
Cross-border preparation · 50Brazil data licensing preparation guide
Prepare a Brazilian LGPD transfer review using ANPD’s actual mechanisms and current decisions.
Cross-border preparation · 51Türkiye data licensing preparation guide
Prepare a Turkish KVKK transfer review using the amended Article 9 framework and role-specific standard contracts.
Cross-border preparation · 52China data licensing preparation guide
Prepare mainland China data-classification and export questions before giving an overseas AI lab access.
Seller reference · 53Prepare for a licensing negotiation
Define the scope, evidence and alternatives before discussing price.
Seller reference · 54An unsolicited data offer: first checks
A cautious workflow for evaluating an unexpected approach.
Seller reference · 55Where licensable data comes from
Distinguish original collection, commissioned work, archives and licensed content.
Seller reference · 56Verify the collection and the counterparty
An evidence checklist for diligence on both sides of a proposed licence.
Seller reference · 57How to read AI data litigation
Read legal developments without treating a headline as permission.
Seller reference · 58Choose preparation help carefully
Evaluate vendors for data processing, review and secure delivery.
Seller reference · 59Research the organisations in a data deal
A structured approach to distinguishing labs, vendors, marketplaces and intermediaries.
Seller reference · 60Source notes and editorial standards
Use evidence that a reader can check.
Seller reference · 61A reading list, without the inbox commitment
A compact starting point for understanding data licensing.
Seller reference · 62How to use the tools and guides
Answers about this educational site and its local-only tools.
Seller reference · 63Fees belong in the full economics
Estimate costs before deciding whether a licence is attractive.
Seller reference · 64Introducing a data holder responsibly
Prepare an introduction without creating an unauthorised disclosure.
Seller reference · 65Create a collection listing without exposing the collection
A practical outline for a non-confidential listing.
Seller reference · 66Machine-readable content, without an implied API service
Understand the static research exports available in this build.