# AI data licensing for software companies

URL: https://aidataforsale.com/sell-data-to-ai/software-companies
Publisher: AI Data For Sale (Marketing Signals Ltd)
Updated: 2026-11-10

For software companies: which engineering data AI labs buy (code, issues, reviews, agent traces), the open-source and customer data traps, and how to license it.

For SaaS and software companies, live or winding down: code, issue history and engineering conversations are some of the most sought-after data in AI.

## In short

- AI labs want real software work to train coding agents: code with its history, issues, reviews and the discussion around them.
- A closed crypto startup received about $25,000 for its codebase, with a workspace data sale of about $15,000 pending, per MIT Technology Review.
- Open-source components keep their own licenses, and secrets and customer data in repositories must be removed.
- Live companies can license historical data without giving up current code.

## What engineering data is worth to AI labs

Coding agents learn from how software is really built: commits, pull requests, reviews, bug reports and the conversations that resolve them. That is why buyers want history, not just a final snapshot. See [source code datasets](https://aidataforsale.com/data/source-code-datasets), [software issue history](https://aidataforsale.com/data/software-issue-history) and [agent trajectory data](https://aidataforsale.com/data/agent-trajectory-data).

MIT Technology Review reported a closed crypto startup receiving about $25,000 for its codebase, with workspace data likely worth about $15,000 more ([MIT Technology Review](https://technologyreview.com/2026/10/13/1145755/ai-labs-buying-data-from-dead-startups-to-train-models)).

## Traps to check

- **Open-source components.** Code you did not write keeps its own license. Exclude vendored dependencies or list them with their licenses.
- **Secrets.** Repositories often hold API keys, passwords and tokens in history. Scan and remove them before anything leaves your systems, and rotate them anyway.
- **Customer data.** Fixtures, logs and support attachments may contain customer records. Remove them.
- **Contractor code.** Check that contractor agreements assigned rights to you.
- **Third-party platform terms.** Exports from collaboration tools may be restricted by their terms. See [Slack API terms](https://slack.com/terms-of-service/api).

## Live companies

You can license historical data (for example, a deprecated product or code older than two years) without exposing current work. Restrict the license to training, prohibit reproducing your code verbatim, and require deletion on termination.

## Closing companies

If you are shutting down, code and workspace data may be among your most valuable remaining assets. Read [selling data from a closed company](https://aidataforsale.com/learn/selling-data-from-a-closed-company) and see [SimpleClosure](https://aidataforsale.com/companies/simpleclosure).

## Read next

- [Source code datasets](https://aidataforsale.com/data/source-code-datasets)
- [Software issue history](https://aidataforsale.com/data/software-issue-history)
- [Surge AI](https://aidataforsale.com/companies/surge-ai)

## Questions

### Can I sell my startup's source code to an AI company?

Yes, if you own it. Exclude open-source dependencies or list their licenses, remove secrets and customer data, and confirm contractors assigned their rights.

### Do AI labs want our Jira or GitHub issues?

Issue history with linked code changes is valuable for training coding agents, because it shows problems and how they were solved.

## Sources

- [MIT Technology Review: AI labs are buying data from dead startups to train models (October 2026)](https://technologyreview.com/2026/10/13/1145755/ai-labs-buying-data-from-dead-startups-to-train-models)
- [Slack API Terms of Service](https://slack.com/terms-of-service/api)