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Essentials

What kinds of business data do AI labs buy?

By Noah Loul · Updated

Short answer

AI labs look for operational data that shows real-world expertise and workflows: support and sales conversations, call recordings, documents, email and chat threads (with sensitive details removed), code, and specialized industry records. The common thread is data that isn't publicly available and reflects how professionals actually work.

Conversations and communications#

Support tickets, chat logs, call recordings and sales conversations show how problems are solved and how people communicate in context. Owners need to review and remove sensitive details before sharing.

Documents and knowledge#

Internal wikis, procedures, reports, contracts templates and training materials capture institutional knowledge.

  1. 01Your work records
  2. 02Personal details removed
  3. 03You approve the release
  4. 04Licensed to AI developers
How it works with SourceX: Your work records → Personal details removed → You approve the release → Licensed to AI developers.Illustrative

Workflows and decisions#

Step-by-step records of how experts complete tasks in software — approvals, reviews, diagnoses, estimates — are increasingly sought for building AI agents.

Code and technical data#

Private repositories, commit histories and code reviews can be valuable if you own the rights to license them.

Industry-specific records#

Specialized fields such as healthcare, legal, finance, insurance, logistics, construction and manufacturing produce data that general models rarely see.

Frequently asked questions

Which systems does this data usually live in?

Common sources include Slack, Gmail, Salesforce or HubSpot, support desks, Google Drive, GitHub and industry-specific software.

Related resources

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