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How to Sell Training Data From Your Company Records

Learn how to sell training data from your company's support tickets, CRM notes and code, what buyers pay, how privacy works, and what to expect.

Short answer

You can sell training data without building a data product. Companies with years of support tickets, CRM notes, project files, code or lab records can license copies of them to AI companies that train agents on real business work. The records stay yours, identities are removed before anything is shared, and you choose what is included and who sees it.

Smelted is a free matching service for this. It finds buyers that fit your records, gives a ballpark range, and introduces you to two or three of them. The buyer pays Smelted's fee, so you pay nothing.

What buyers want

AI labs and data companies need examples of how people do real work: how a recruiter moves a candidate through a pipeline, how an engineer handles a bug report, how a lab records an experiment. Internal records show that process in a way public web pages usually do not.

The market is active but changing. A LinkedIn post argues that per-token prices have fallen since the first deals in 2023 and 2024, so a one-time price for old records is not a sure thing (LinkedIn). Buyers are also moving toward licensed sources. Troveo says it consolidates more than 7,000 licensors into one source for enterprise buyers (Troveo).

What you can expect to earn

No honest figure exists before a buyer reviews a sample of your data. Buyers' own pages advertise company-data deals from about $10K to over $1M, mostly for companies with 30 or more employees. Where a marketplace lists prices, it now uses US dollars from 1 October 2026 (Opendatabay).

Be wary of any offer that quotes a number before it has seen your records.

Timing

From first call to payment, plan on one to three months. Buyers' pages say payment comes a few weeks to two months after signing.

Privacy and ownership

You license a copy of your records. You keep ownership. Names, contact details and IDs are removed before anything is shared. You decide which records are included and which buyers you meet.

Whether a particular dataset is allowed to leave your company depends on your contracts and on the data itself. Records that hold a client's personal information, or that fall under rules such as HIPAA, need a lawyer's review first. Smelted does not give legal or compliance approval.

Who this fits

The best fit is a US company with 50 to 500 employees and several years of records in tools such as Zendesk, Jira or GitHub, Salesforce or HubSpot, Bullhorn, AutoCAD or Revit, or Benchling. Staffing and recruiting, engineering and architecture, B2B software and science labs are the common cases.

If you have under 30 employees, be aware that the buyers who take smaller companies usually pay less. Smelted can still tell you what is realistic for your records.

Datasets that are audio, voice or video, or that are large or unusual, need a closer look from the team.

How to start

Book a 15-minute call with Chris Irving at calendly.com/smelted/intro-call, or call 954-682-7560. For a ballpark range first, fill in the one-to-two minute form at smelted.ai/get-started.

FAQ

How do I sell AI training data?

List the records you have, check whether they are yours or your clients', remove identifying details, and find buyers that want that kind of work. Smelted handles the matching and introductions, and you approve what is shared.

Can you sell data to AI companies?

Yes, if the records are your company's and you have the right to license them. Records that belong to clients, or that hold personal information, usually need legal review first.

It depends on the data, the contracts behind it and the rules that apply to your business. Smelted removes names, contact details and IDs before sharing, but it does not give legal approval. Talk to a lawyer before licensing anything that includes personal information.

How much can data be sold for?

No one can give a fair number before a buyer has reviewed a sample. Buyers' pages advertise ranges from about $10K to over $1M, mostly for larger companies.

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