Essentials
What kinds of business data do AI labs buy?
By SourceX Editorial · Updated
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.
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
- QuestionCan CRM data be licensed?
- QuestionPublic data vs proprietary data: what's the difference for AI?
- IndustryHealthcare data
- IndustrySoftware data
- GlossaryEnterprise data
- SolutionTurn the data your company already creates into a licensing asset
- SolutionAccess proprietary, licensable data the public internet can't provide
- DataSales and CRM data
- DataCall recordings
- InsightHow to monetize your business data: a practical guide
- InsightCan businesses license operational data?
- InsightCan call centers and bpos sell their data to AI companies?
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