Is my company's data valuable to AI labs?

1. Headcount, because it stands in for process

This is the only requirement partners state as a firm range. micro1's corpus and workflow programs are built for 30 to 200 employees. Mercor publishes no minimum or maximum.

The reason a floor exists at all is that a ten-person company usually has no repeatable process to license. Everyone knows how the work is done and nobody has written it down. The ceiling exists because at a certain size procurement and legal review tend to outlast the partner's patience.

2. Where the work lives

Work that runs through systems of record leaves a usable trail: Jira, Salesforce, Zendesk, SAP, GitHub, or comparable tools. Work that lives in spreadsheets, email threads, and someone's memory leaves very little.

This is the single biggest lever most companies can pull, and the slowest. If your operations are mostly manual today, that is a real answer rather than a rejection: it means less to license now, not nothing later.

3. How standardized your workflows are

SOPs, playbooks, internal wikis, and documented step-by-step processes are what turn a pile of records into something a model can learn a task from. Consistency matters more than polish.

The honest failure case here is the company that says "we know how to do it, we just do not write it down." That company has valuable operational knowledge and no way to license it yet.

4. Whether you can get sign-off

Someone has to be able to decide what leaves the building. That can be an established legal, infosec, or procurement process, or it can be a founder with the authority to approve one. Either works.

What does not work is a hard compliance or regulatory bar against licensing internal operational data at all. If that is your situation, no amount of documentation maturity changes the answer, and it is better to know that in week one.

What this does not depend on

• Your industry being exciting. Ordinary back-office work is often more valuable than novel work, because there is more of it and it is more consistent.
• Owning unique data in the marketing sense. What is scarce is the record of skilled work being completed, not proprietary information.
• Having a data team. Partners handle extraction and anonymization. Mercor states its process needs no engineering work from the company.

Finding out where you stand

Our operational maturity assessment scores your company against these four signals and tells you which one is holding you back. It asks for no contact details and no files.

If you would rather go straight to the point, the partner match asks for the same profile plus a way to reach you, and comes back with every partner that fits.