Business data licensing, and who buys it
AI buyers license operating records like email, chat and tickets, and the owner keeps them.

Business data licensing means letting a buyer, now mostly an AI company, use your company's operating records. Those records are email, chat, documents, tickets, CRM history, finance records and code.
In plain words
Data licensing means a company gets to use your records for a while, under rules.
Think of it like this
It's like renting out a room you never use. You keep the house.
micro1 runs a data partnership program. Its CFO said in an undated recorded forum talk that it looks for the chain of work from a request to a deliverable across tools. Other companies named in public sources include Handshake AI, Mercor and Google.
This guide is the company version of the topic. It covers what operating data looks like, who buys it, what a deal involves and what rules a business out. The full licensing process is in the pillar guide on licensing company data to AI companies.
Most payout figures below are self-reported.
What counts as business data?
The companies list the same kinds of systems.
Troveo's page names these groups: chat and messaging, email and calendar, documents and files, work and knowledge tools, CRM, sales and support, business platforms, finance and operations, and data and code. It says internal custom systems can matter too (Troveo).
micro1 names SOPs (written work procedures), knowledge bases, CRM data and project histories (micro1).
Buyers care most about the record of work. A single message matters less. Your tools hold that record in pieces, so the value sits in the trail across them.
What does a valuable business record look like?
micro1's CFO gave one example in an undated recorded forum talk. A team member asks for a marketing budget. The record shows the request, the analysis in a spreadsheet, the back-and-forth and the approval across Slack, email and Google Workspace.
The CFO said the value is the path from request to approval across tools. The names and vendor line items matter less (self-reported).
Fortune calls such a recorded sequence of steps a trajectory (Fortune). A support ticket works the same way. It holds a problem, the steps and the resolution.
Who buys it?
- Google placed the $10M winning bid for Spirit Airlines' archive, pending court approval. The archive holds about 100 million emails, 500 million Teams chats and 30 million lines of code. The sale was still before the bankruptcy court (Time).
- Handshake AI says partnerships range from $100K to $4M+.
- Mercor has a data arm with connectors to tools like Slack and Gmail. It has approached shuttered startups with offers reported up to $300,000 (BigGo Finance).
- Troveo is a marketplace that licenses to buyers it rarely names.
Who buys company data for AI has the sources. AI data companies sorts the players by lane.
Where does micro1 fit?
micro1 runs company-data partnerships for AI development, with compensation under the agreed data partnership. Its Enterprise Data Partnership listing says $100K-$2M+ for approved data packages (self-reported).
What does a deal involve?
David Revland, who works on human data at micro1, walked through its corpus process in an undated recorded forum talk (self-reported). It starts with an introduction, a first call and a data manifest form. The form asks which services you use and rough sizes per tool.
Then come a payment proposal, contract language, a transfer micro1's engineers help run, and payment after micro1 verifies the data. The CFO estimated, in an undated talk, about 10 hours over a week or two from one or two of your IT people.
Other buyers differ. Troveo says it needs no OAuth access (login permission) to your systems. Mercor says its platform pulls data through connectors and removes names.
What does a business need to qualify?
The stated minimums differ by company. micro1's current public criteria list 30+ employees, mature operations and primarily English documentation, with US companies prioritized. Acceptance depends on its review and current demand.
Handshake AI's referral page says 20 or more full-time employees and 3 or more years in operation.
Firms whose records are mostly client files, such as law, accounting and healthcare practices, face the hardest rights questions. Much of what they hold is client material, and counsel decides what the firm can license.
What can stop a deal?
Rights come first. Your email and chat hold other companies' information, often under NDAs. Counsel also flags trade secrets, privilege and employee talk that US labor law protects (Frankfurt Kurnit). Your tools have terms too.
Salesforce's 2025 terms for the Slack connection tools use to pull data bar bulk export, persistent archives and use of that data in AI language models (Hunton).
Removing names is the other weak joint. In an undated recorded forum talk, Revland said micro1 swaps names for consistent stand-ins, and micro1 staff said companies cannot scrub first. Data de-identification covers what the legal tests ask.
Where does the money question stand?
No public price list exists. Every public deal is a distressed company or a buyer headline. Pricing models shows the figures. How much your business data is worth to AI covers what moves a number.
Where to start this week
Write one block per system: the tool, the oldest record, the approximate count, whose words are in it and any restrictions. Run the rights check, then take the free fit check.
The buyer directory and the deals tracker cover the players and the public figures. If you want help preparing the records, see the managed readiness service.
Talk to a privacy or commercial lawyer in your state before you sign.
micro1 may pay us a referral fee if a company we introduce goes ahead with it. How we are paid
Apply to micro1's data partnership (paid link)micro1's own data-partnerships pagePaid link. How we are paid
Vaultfish helps you run the process. We are not lawyers and this is not legal advice. If you need counsel who knows this area, we can point you to one. Ask for a referral

Matt tracks public deals on company records. Before this, nearly a decade at monday.com.

