Why AI labs are paying for company records
The public internet taught models to talk. Company records teach them to work.
Large language models became fluent by reading the open web. Fluency is not the same as competence, though. A model that can describe how a purchase order works is different from one that can actually process a purchase order inside a real company's systems.
The gap labs are trying to close
AI labs are now building agents meant to handle support queues, sales pipelines, engineering tickets and finance workflows. To train and test those agents, they need examples of the real thing: messy, connected, years‑long records of people doing that work. That material lives inside companies, not on the internet.
Why ordinary companies matter
Famous catalogs like major publishers get direct deals. But labs also need breadth: manufacturers, logistics firms, agencies, service businesses and every other kind of operating company. Each one captures a slightly different way of working, and that variety is exactly what makes a training set useful.
What this means for you
If your company has been operating for years and keeps its documents, messages and records, you may already hold something a lab will pay for. Sakuya's average deal size is between $250K and $1M, for records most companies never thought of as an asset.
Our average deal size is between $250K and $1M. Find out what your records are worth in a few quick questions.
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