Sell tech company data to AI companies

Why AI companies want data from tech companies right now

The AI systems being built today are meant to do real work inside companies: write and triage tickets, plan sprints, answer customer questions, update the CRM, close the books. To learn that, AI labs need examples of how a working team actually does it – not polished documentation, but the threads where a bug gets reproduced, the ticket that gets re-scoped three times, the sales note that explains why a deal slipped.

Tech companies produce that record more completely than almost anyone else. Work is written down by default. Decisions happen in Slack, plans live in Jira or Linear, specs and post-mortems sit in Google Docs or Confluence, and deals move through HubSpot or Salesforce. Because the same people show up across all of these tools, the record links together: a customer complaint in Zendesk becomes a Jira ticket, a Slack discussion, a fix and a renewal note in the CRM.

That's why tech companies sit in the strong-demand group right now. Demand shifts with the market, and what is most wanted today may change as AI companies fill gaps, but a well-kept multi-tool history from a software company is consistently useful.

What carries the value

The value comes from five core systems used by the same team over several years, plus the tools specific to how software gets built and sold.

The strongest tech datasets have three or more years – five or more is better – in these systems, used continuously by the same organization. A company that moved from Teams to Slack in its second year still has a full record, as long as both are kept. Each core system that's missing lowers the offer, and leaving whole systems out does the same. More on individual systems in Slack and Teams data, email archives and CRM and business data.

Typical starting size and how to count

Tech company deals typically start from about 50 staff. Bigger teams get bigger offers, and companies with 100 or more people working in the same tools receive the largest ones.

Count full-time staff who work in your company's systems – engineering, product, design, support, sales, marketing, finance and operations all count. Contractors who had their own accounts in Slack and Jira add to the record, but the headcount we look at is your full-time team. If you have offices in several countries, note that internal communication should mainly be in English.

What is never part of a deal

Sensitive content is filtered inside each system, not by dropping whole systems:

• Customer product data – what your users store in your product is theirs under your terms and stays out.
• Credentials and secrets – API keys, passwords, tokens and environment files pasted into chat or tickets are removed.
• Personal details – customer and employee names, emails, phone numbers and similar identifiers are filtered or replaced.
• HR and payroll – performance reviews, compensation and HR channels are excluded.
• Material under someone else's rights – content covered by an NDA or a customer contract that restricts its use is assessed and left out where needed.

Source code is not part of the standard deal. A standalone codebase can be discussed separately – see text, image and audio data for how content licensing works more broadly. For how privacy law fits in, read data privacy and AI training.

What companies typically receive right now

Smaller companies in high-demand industries are quoted individually. These are indicative ranges from what we see in the market right now, not offers – the real number comes in a written offer after a review, and depends on your industry, years of history, which systems are included and demand at the time.

Tech companies with a long, connected history across many tools tend to land well within their band. A fast-growing company with only a year or two of records, or one that auto-deletes Slack after 90 days, usually lands lower. Our data value estimator gives a first estimate in about two minutes.

How a deal works

1. You describe your company – team size, which tools you use and for how long. No data is uploaded at this stage.
2. We review fit, rights and demand, and get back to you within 48 hours on business days.
3. You approve a written offer and agreement, or say no. Nothing is shared before you approve.
4. Filtering and delivery. Sensitive content is filtered inside each system, the agreed records are delivered and payment is made.

A decision maker who can sign soon after the first call – usually within about two weeks – helps a deal move. By default the license is non-exclusive and limited in scope, time and use, and you keep ownership of every record. It costs nothing to have your company reviewed. More on how it works. For the full picture across industries, see how to sell data to AI companies.