Turn existing company data into new revenue.
AI labs and companies building advanced models need real-world business data. Your project histories, technical documents and operating records could become a paid licensing opportunity.
Not sure your company fits? Start with your company name.
AI companies with public data acquisition programs
From first conversation
to a licensing decision.
- 1
Start with the company.
Tell us what your business does and which records it keeps. A description is enough for an initial conversation.
- 2
Choose the introduction.
If there is a possible route, discuss the named buyer and exactly which details you want to share.
- 3
Evaluate the terms directly.
You and the buyer agree the scope, permitted use, preparation, payment and transfer.
A useful first description
Describe the work your records explain.
- The work
- “We retain project briefs, revision histories and resolved issues.”
- The context
- “Project references connect the original request to decisions and the final outcome.”
- The gaps
- “Earlier attachments are incomplete. Coverage and permissions still need checking.”
The questions owners ask first.
Understand the opportunity before preparing a single export.
What kinds of company records can be relevant?
Project histories, documented decisions, procedures, resolved issues and structured operating records can describe how work gets done. Context matters: a brief connected to revisions and an outcome says more than an isolated final file. See the record-family examples.
Do we need to create new data?
Start with the records your business already creates: completed projects, documented decisions and operating histories. You can explore fit with a description before preparing an export. If a buyer is interested, agree who handles extraction and preparation. Use the preparation checklist.
How much could a data licensing deal be worth?
micro1 publishes enterprise partnership tiers of $100k+, $500k+ and $1M+, depending on the scale and distinctiveness of the data. Those are its advertised program tiers; your company’s offer depends on the records accepted, permitted uses and agreement. Payment may be tied to an accepted delivery or continuing participation. Understand what drives the economics.
What determines whether an opportunity is worthwhile?
Buyer use, usable context, permissions and the requested license all matter. Compare the proposed payment with preparation work, updates and restrictions on future use. A file count alone cannot price the opportunity. Build a practical business case.
Would we still control our data?
The contract defines what you retain and what the buyer may do. Ownership, exclusivity, permitted use and duration are separate questions. An enquiry here does not authorize a data transfer. Understand the terms that matter.
Resources for your next decision.
Understand the opportunity, the process and the terms before you commit.
Selling company data to AI developers
The process, from inventory to a possible agreement.
What is data licensing?
The complete AI resource: uses, rights, pricing and the path to a paid license.
Does licensing make business sense?
Compare external licensing with other uses for your data.
Prepare for a conversation
A practical checklist you can use without sending anything.
Understand prospective buyers
Compare acquisition routes, evaluation requirements and buyer questions.
Manufacturing and supplier records
A closer look at quality, tooling and operational histories.
Explore the earning potential of your existing data.
Tell us what your business already creates. Start with a description; keep the records in your own systems.