Short answer
AI data buyers pay for operational records that show how a company actually works: team chat, email, CRM history, support tickets, project records, process documentation, call and meeting recordings, design files, source code and accounting exports. They want real business operations, not anything already on the public internet.
AI data buyers are not looking for secret formulas or customer lists. They are looking for the everyday records a company produces by doing its work. This guide lists the twelve types in demand, the tools that usually hold them and what makes one archive more valuable than another.
Key takeaways
- Buyers want operational records: how your team works, decides and solves problems.
- Twelve record types come up again and again, led by team chat, email, CRM history and support tickets.
- Value comes from depth (years), breadth (several systems) and variety (many kinds of situations).
- Records that cover the same events across systems are worth more together.
- Some data stays out: patient records, client-confidential files and personal data you lack the rights to license.
The 12 types of business records in demand
| # | Record type | Common tools | What it shows |
|---|---|---|---|
| 1 | Team chat | Slack, Microsoft Teams, Google Chat | How people coordinate and solve problems in real time |
| 2 | Email and calendar | Google Workspace, Microsoft 365 | Client and vendor conversations over years |
| 3 | CRM history | Salesforce, HubSpot, Pipedrive, Zoho | How deals start, stall and close |
| 4 | Support tickets | Zendesk, Intercom, Freshdesk | Problems, attempted fixes and resolutions |
| 5 | Project records | Jira, Asana, Monday, Trello, ClickUp | Tasks, dependencies and delivery |
| 6 | Wikis and process documents | Notion, Confluence, Google Docs | SOPs and how work is supposed to be done |
| 7 | Files and documents | Google Drive, Dropbox, SharePoint, Box | Proposals, reports, templates |
| 8 | Call and meeting recordings | Zoom, Gong, RingCentral, Otter | Spoken sales and service conversations |
| 9 | Quotes, orders and accounting exports | QuickBooks, NetSuite, SAP, Xero | The commercial record of the business |
| 10 | Design and CAD files | AutoCAD, SolidWorks, Revit, Figma | Technical and creative work product |
| 11 | Source code and issues | GitHub, GitLab, Bitbucket | How software is built and fixed |
| 12 | Field and industry systems | ServiceTitan, Procore, Jobber, Toast, Clio | Work orders, jobs and industry-specific workflows |
Spreadsheets, databases, HR and payroll systems, ecommerce platforms and marketing tools hold useful records too. The DataRelai intake form lists more than a hundred tools across 25 categories, and you can add any that are missing.
The four in highest demand
Team chat
Chat captures work as it happens: a question, a debate, a decision. Reporting quotes a buyer saying one company's chat history can be worth more than another company's chat, email and calendars combined. See licensing Slack data for AI training.
Email holds the longest history in most companies and most of the conversations with clients and vendors. It also carries the most sensitive content, so it needs the most care. See licensing company email archives.
CRM history
A CRM records what happened to every opportunity and why. It is structured, tied to outcomes and easier to de-identify than free text.
Support tickets
A ticket is a complete small story: a problem, the steps tried and the fix. That makes ticket archives a natural fit for training AI systems on service work. See licensing CRM and support ticket data.
What makes one archive worth more than another
Depth. Years of continuous history show more situations than months.
Breadth. Several systems covering the same work let a buyer follow a job from first contact to completion. Reporting on this market describes the ideal package as a connected chain: the client's email, the internal discussion, the options that were rejected, the fix that was chosen and the reply.
Variety. A team that handled many kinds of problems in writing has more to teach than a team that repeated one task.
Real use. Tools the team actually worked in are worth more than tools that were bought and ignored.
Clean rights. Records you can clearly license are worth more than records tangled in restrictions.
For how these factors turn into a price, see how much company data is worth to AI companies.
What buyers do not want
- Anything already public. Marketing copy, published articles and public web pages add nothing a buyer cannot already get.
- Thin archives. A few months of history from a handful of people.
- Data you cannot license. Legal and regulatory rules generally keep companies from licensing patient records, client-confidential files or personal data without the rights to do so.
See what data can't be licensed for AI training.
Personal information is removed, not sold
Operational records naturally contain names, phone numbers and customer details. In a responsible deal, those are stripped out. Personal information, vendor names and identifiable customer details are de-identified under the license you approve. See de-identification for AI training data.
How to find out whether your records qualify
You do not need to export or upload anything to find out. Start with a description:
- Which tools does your company use, in which of the categories above?
- Roughly how many years of history does each hold?
- Roughly how many records are in each?
- How many full-time employees do you have, and what industry are you in?
That is what DataRelai's intake form asks. There are no uploads and no system access. We check your company and its data against what buyers require, and we tell you if it isn't a fit.
Frequently asked questions
Do AI companies buy customer data?
They buy operational records, which often mention customers. Identifiable customer details are meant to be removed through de-identification, and customer contracts may restrict what can be included at all.
Do AI companies buy spreadsheets and financial records?
Yes, in many cases. Quotes, work orders and accounting exports show the commercial side of how a business runs. Payroll and tax records are usually excluded.
Is one system enough?
One strong archive can be licensed, but buyers prefer several systems that cover the same work. Breadth raises value.
Do I have to clean or organize the data first?
No. The buyer typically works with you to qualify, transfer and de-identify the dataset.
This guide is general information, not legal, tax or financial advice. Whether a particular dataset can be licensed depends on what it contains and on obligations your company already has.