How to sell your company's data to AI companies

Why AI companies want operating data

Models learned to write from the public internet. Agents that do real work need something the internet doesn't have: records of how work actually gets done. How a support ticket was resolved, how a contract was revised, how an estimate was priced, how a project was approved. That is the everyday exhaust of an operating business, and AI buyers are paying to license it.

The steps

1. InventoryList the systems you use and how many years of history each holds: CRM, ticketing, documents, code, communications.
2. Confirm rightsCheck customer contracts, privacy notices and employee policies. Our rights checklist covers what to look for.
3. Protect personal informationPlan how personal data will be removed, masked or excluded before anything leaves the building.
4. Describe the workBuyers buy workflows, not files. Explain what decisions, revisions and outcomes the data shows.
5. Approach buyers confidentiallyShare a description first, then a small sample under NDA, then negotiate scope and terms.
6. License, don't sellGrant defined rights for a defined use and period. Keep ownership and the right to license elsewhere where possible.

What makes data valuable

Buyers look for records of decisions and outcomes, connected across systems, over several years, at real scale, that nobody else can offer, with clean rights. We break this down in what your data is worth to AI buyers and what data AI companies actually buy.

Ways to sell

You can list on a data marketplace, work through a broker, sell during a wind-down, negotiate directly or use an advisor. Each has trade-offs, reviewed in AI data sale options compared.