How much is my company data worth to AI companies?
Short answer
There's no fixed price list. The value of business data for AI depends mainly on how unique it is, how much of it exists, its quality and history, the industry it covers, what uses are permitted, and whether buyers currently need it. Specialized, hard-to-find datasets with years of history tend to be worth the most. The only reliable way to know is an assessment against current buyer demand.
The factors that drive value
Uniqueness: data that can't be found on the public internet or from other vendors.
Volume and history: years of records are more useful than a few months.
Quality: consistent, well-structured, accurately labeled information.
Specialization: data that captures expert decisions in a specific field.
Permitted use and exclusivity: broader or exclusive rights usually cost more.
Demand: what AI teams are actively trying to build right now.
Types of data that often attract interest
Customer support conversations and resolutions, sales and call recordings, internal documents and knowledge bases, code repositories, domain-specific records (legal, medical, financial, industrial) and workflow data showing step-by-step expert processes.
Why estimates vary so much
Deals are negotiated individually, and the same dataset can be worth very different amounts to different buyers. Treat any online estimate as a starting point, not a quote.
Getting an estimate
SourceX offers a free three-question estimate on its homepage, followed by a review of your systems. No data is shared during the initial assessment.
Common questions
- Is there a standard price per record or per gigabyte?
- No. Pricing depends on the buyer, the use case and the data's uniqueness rather than raw size.
- Can small businesses earn money from data?
- Sometimes. Size matters less than uniqueness and specialization.
Find out what your data could be worth
Three questions. No data is shared during the initial assessment.
Get my estimate