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AI Data Payout

Updated October 2026

What business records AI companies want

Independent and sourced. We feature companies that pay us a referral fee. Our scores and reviews don't change for it. How we earn

You are wondering whether your kind of records is even the right kind. If they show your people doing real work step by step, it probably is. Buyers say they look for work that employees repeat in a well defined way, and some buy company archives to train AI tools that carry out tasks. Everyday emails, tickets and job notes show a model what public websites never did.1,2

Why now

Why labs want an ordinary business's records

AI models have read the public internet, which shows finished work, not the steps behind it. What is missing is how work gets done inside companies: how a dispatcher reshuffles loads when a truck breaks down, how an office manager chases an unpaid invoice, how a tech writes up a job. micro1's summer ad put it plainly, saying the next generation of AI models will be trained on real-world business workflows.3

The newest AI tools do tasks rather than answer questions, and they need realistic practice. MIT Technology Review reported that Surge AI buys company archives for exactly this, and Mercor bought Deeptune to build practice settings for these tools.2,4

The kinds they name

What buyers ask for most

Conversations come first: email, Slack and Teams. Then procedures, such as SOPs, playbooks, manuals and wikis. Then the records of the work itself, such as tickets, work orders, quotes, invoices and dispatch logs.5,6,7,8,9,10,11,12

The ads get specific by trade, naming call recordings and CAD files, dispatch logs and load histories, real estate deal files, media plans and design files, work orders and inspection records.12,13,14,15,16

What buyers ask for most
FactValue and source
Data micro1 names on its partnership page

Internal docs, SOPs and playbooks, knowledge bases, project management workflows, internal comms, templates, CRM and workflow metadata, task histories

[8] micro1 Enterprise Data Partnership page · company's own claim ·

What Mode buys

Email and calendar, documents, chat, calls and transcripts, CRM and billing records, from Gmail, Outlook, Drive, Slack, Jira, Confluence, Salesforce, HubSpot, Zendesk, Notion, Zoom, QuickBooks, ServiceTitan and more

[5] Mode company data site · company's own claim ·

What Grepped buys

Messages, codebases, documents, business records and task histories, from Slack, Teams, Gmail, Outlook, GitHub, Jira, Google Drive, SharePoint, Notion, Salesforce, HubSpot, QuickBooks, Xero, Zendesk, Asana and ServiceNow

It reviews, packages and resells the data; it also takes what it calls expertise traces.

[6] Grepped website · company's own claim ·

Data it buys

Slack, email, Drive, CRM, tickets, design files, calls and ERP

[7] Polyshares website · company's own claim ·

What they do not want

What they are not after

Customer identities and private details are removed, not prized. One buyer's ad says "AI labs aren't after your clients or your secrets", Spirit Airlines' archive was offered with passenger records excluded, and sensitive employee and health records are usually left out.17,18,19

Raw numbers alone are weak. A spreadsheet of sales totals shows results, not how they were achieved, and the useful record is the one that explains the work around the number. If your records look like that, our quiz asks which systems you use and introduces you to the buyers we work with that take them.

FAQ

Questions, answered with sources

  • Records of repeated work: email and chat, procedures and wikis, tickets, work orders and project history. Buyers say they want work that employees repeat in a well defined way.1,8

  • To train models on how real businesses work and to give AI tools that carry out tasks realistic practice. Public websites show finished work, not the steps behind it.3,2

  • Call recordings, CAD files, support tickets and email come up most in the ads. Email, chat and documents are on nearly every buyer's list.12,11,5,6

  • Not by their own account. Buyers say client names are swapped for codes and that labs are not after your clients.20,17

  • AI labs, usually through a licensing company that will not name the lab. Ask the buyer who it licenses to, and get a promise in writing that your competitors are not on the list.21,22

  • Every business is different, so this one is best talked through with the buyer you're working with. Their team goes over it with you before anything is signed.

Before you sign

Every business is different, so these are best talked through with the buyer you're working with. Their team goes over them with you before anything is signed.

Questions for this kind of business

  • Do customer, vendor or platform contracts, NDAs or API terms restrict this?
  • Could the data include privileged material or trade secrets?

Questions for any buyer

  • Is the license exclusive, and for how long?
  • Can you sublicense the data, and to whom?
  • Which AI labs will receive it, and will you tell us?
  • How long do you keep it, and how is it deleted?
  • What is your liability cap, and who indemnifies whom?
  • Will the contract ban re-identification of people in the data?
  • Who removes personal data, by what method, and do we approve it first?

How this page was made

Figures come from the published sources listed below, and what a buyer says about itself is its own claim. Anything marked as our estimate is ours, not a buyer quote. Drafted with AI help from our research, then checked against each source. Updated October 2026.

We feature companies that pay us a referral fee. Our scores and reviews don't change for it. See how we earn and how we rank. This site does not give legal, tax or financial advice.

Sources (22)

  1. 1.micro1 Enterprise Data Partnership page. Accessed 14 Oct 2026. Company's own claim.
  2. 2.MIT Technology Review, published 13 Oct 2026. Accessed 14 Oct 2026.
  3. 3.Meta Ad Library, micro1, published 6 Jun 2026. Accessed 14 Oct 2026. Company's own claim.
  4. 4.SiliconANGLE, published 9 Jul 2026. Accessed 14 Oct 2026.
  5. 5.Mode company data site. Accessed 14 Oct 2026. Company's own claim.
  6. 6.Grepped website. Accessed 14 Oct 2026. Company's own claim.
  7. 7.Polyshares website. Accessed 14 Oct 2026. Company's own claim.
  8. 8.micro1 Enterprise Data Partnership page. Accessed 14 Oct 2026. Company's own claim.
  9. 9.Meta Ad Library, Supersoniq, published 14 Oct 2026. Accessed 14 Oct 2026. Company's own claim.
  10. 10.Nyne sell-company-data page. Accessed 14 Oct 2026. Company's own claim.
  11. 11.Meta Ad Library, Cognor Labs, published 10 Oct 2026. Accessed 14 Oct 2026. Company's own claim.
  12. 12.Meta Ad Library, Ventra, published 11 Oct 2026. Accessed 14 Oct 2026. Company's own claim.
  13. 13.Meta Ad Library, Nyne.ai, published 4 Oct 2026. Accessed 14 Oct 2026. Company's own claim.
  14. 14.Meta Ad Library, Nyne.ai, published 1 Oct 2026. Accessed 14 Oct 2026. Company's own claim.
  15. 15.Meta Ad Library, Nyne.ai, published 30 Sep 2026. Accessed 14 Oct 2026. Company's own claim.
  16. 16.Meta Ad Library, Nyne.ai, published 30 Sep 2026. Accessed 14 Oct 2026. Company's own claim.
  17. 17.Meta Ad Library, Nyne.ai, published 26 Sep 2026. Accessed 14 Oct 2026. Company's own claim.
  18. 18.SiliconANGLE, published 17 Aug 2026. Accessed 14 Oct 2026.
  19. 19.SimpleClosure press release (Business Wire), published 3 Sep 2026. Accessed 14 Oct 2026. Company's own claim.
  20. 20.Meta Ad Library, Nyne.ai. Accessed 14 Oct 2026. Company's own claim.
  21. 21.Grepped security page. Accessed 14 Oct 2026. Company's own claim.
  22. 22.Pewter website. Accessed 14 Oct 2026. Company's own claim.