What is a foundation model?
Foundation models are large, general-purpose AI models that other products are built on. Their development consumes the largest share of training data spending.
The definition
A foundation model is a large AI model trained on broad data to perform many general tasks. Other products — chatbots, agents, industry tools — are built on top of it.
Why they drive data demand
- Training a foundation model requires enormous, diverse datasets.
- Each new generation needs more and better data.
- Competition between labs pushes data spending upward (Reuters).
Where company data fits
Foundation models learned the public web long ago. What improves them now is what they have never seen: licensed content and real operational data from companies.
What this means for partners
The companies in your network hold data foundation models need. The typical qualifying profile is 50+ full-time employees at peak. If a deal closes and SourceX collects its fee, you earn 25% of that fee, up to $100,000 per company.
- 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
- IRR calculator — Internal rate of return on annual cash flows.
- Business valuation calculator — Enterprise and equity value from EBITDA, your multiple, cash and debt.
- Portfolio data opportunity scanner — Screen several companies in one session.
- All free tools · MCP resource center
By SourceX Partnerships Team · Published 2026-10-09 · Updated 2026-10-09
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