Question
What data is most valuable to AI labs right now?
By SourceX Editorial · Updated
Short answer
Records of real multi-step work are in high demand: support tickets with resolutions, engineering histories, sales cycles, approvals and other workflows that show how experts get things done. This kind of data helps build and test AI agents and is rarely available on the public web.
Part of: How licensing works
Explanation#
Public text has been used heavily for pre-training. The gap is now specialized, real-world professional work with outcomes.
Value rises with depth, years of history, linked context and clear rights.
Examples#
- Ticket histories linked to knowledge-base articles
- Code reviews linked to bugs
- Approval chains with decisions
Rights and privacy#
- Confirm customer, vendor and employee agreements allow the use
- Remove or de-identify personal details before anything leaves the company
- Approve the final dataset and permitted uses in writing
How licensing works#
A business describes its data, buyer demand is assessed, scope and permitted use are proposed, the data is prepared and de-identified, an agreement is signed, and the approved dataset is delivered. See data licensing for detail.
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General information, not legal advice. Editorial policy.
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- SolutionTurn the data your company already creates into a licensing asset
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See if your company qualifies
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