What kinds of company data do AI buyers want?
Buyers want real operational data — support conversations, documents, sales and finance records, engineering artifacts — because it teaches models how work actually gets done.
What the market shows
Public reporting on data-licensing deals shows buyers paying for large, real, rights-cleared datasets rather than more scraped web text Axios. The categories companies most often hold include:
- Customer and support: helpdesk threads, call recordings, chat logs
- Sales and revenue: CRM records, proposals, contracts
- Documents and knowledge: wikis, SOPs, runbooks, internal messaging
- Finance and operations: invoices, close workpapers, operational logs
- Engineering and product: tickets, code review history, incident reports
Why it matters
Models trained only on public text learn how people write publicly. Operational data teaches them how businesses actually work — which is what enterprise AI products need.
What this means for partners
If you know a company with 50+ full-time employees at peak holding years of such records, introduce it to SourceX. If a deal closes and SourceX collects its fee, you can earn 25% of that fee, up to $100,000 per company. Nothing is guaranteed.
- Step 1Share your linkSend your personal link to a company you know.
- Step 2Company appliesThe company applies itself at /apply.
- Step 3Buyer selects and paysThe buyer selects and pays for the data and SourceX receives its fee.
- Step 4You get your rewardYour share of SourceX fees becomes payable.
Free resources
- AI readiness assessment — Ten questions, five dimensions, a score out of 100.
- EBITDA calculator — Reported and adjusted EBITDA from net income.
- MOIC calculator — Multiple on invested capital from realized and unrealized value.
- All free tools · MCP resource center
By SourceX Partnerships Team · Published 2026-10-09 · Updated 2026-10-08
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