What kinds of business data do AI labs buy?
Short answer
AI labs look for proprietary data that shows real-world expertise and workflows: support and sales conversations, call recordings, documents, email and chat threads (de-identified), 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. These usually require careful de-identification.
Documents and knowledge
Internal wikis, procedures, reports, contracts templates and training materials capture institutional knowledge.
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.
Common 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.
Find out what your data could be worth
Three questions. No data is shared during the initial assessment.
Get my estimate