Can you sell your company's data to AI companies? (2026 guide)

Short answer: you don't sell it, you license it, and established businesses are getting paid real money to do so. This guide explains how AI training data licensing for businesses works today, what qualifies and how to approach it.

Why AI labs want company data now

The first large AI models learned from the open web. Then labs licensed specialty data like audio, video and code, and hired human experts to teach models by hand. Those sources are now largely tapped. What labs still lack is a view of how real businesses work: the email that starts a job, the CRM update, the customer back-and-forth and how the problem got solved.

That end-to-end record lives inside ordinary companies. It's why operational data from businesses with established desk teams is now in such high demand for AI training.

What kind of data qualifies

• Email and chat (Gmail, Outlook, Slack, Teams)
• CRM and sales records (HubSpot, Salesforce)
• Support tickets (Zendesk, Jira)
• Docs and project files (Google Drive, Notion, Asana)
• Industry systems like ERPs, TMS platforms and property management software

Companies with 20 or more full-time desk employees, based in the US, UK or Canada and at least three years in business tend to be the best fit today. Some regulated industries, including healthcare, legal, financial services and accounting, are generally not a fit right now.

Who pays, and how

We do. We license your data and pay your company directly, usually net 30–60 days after upload. There are no fees: you never pay us anything.

How your price is set

Your offer is based on what we find on the data call: team size, every tool your team uses and how many years of records you have. Mapping every system matters, because one missed tool can leave tens of thousands of dollars off the offer. Every company is different, and estimates aren't guarantees.

Timing matters too. Prices tend to fall as labs fill their needs. Voice data went from about $150 an hour to around $20 once labs had enough. Companies that move early tend to get the best prices.