AI knows the theory. It has never done the job.
Labs now train models to do the work. The record of how a claim is assessed, how a close is run and how an exception is escalated lives inside companies like yours. License it and get paid.
Free to find out. You keep ownership. Stop whenever you like.
Your data's worth depends on six main factors.
Your data comes from a specialist team with a few years of records.
The data comes from a mid-size company with records across several systems.
You provide data from a large operator in a regulated field, licensed exclusively.
How many people work at the company?
Headcount is the strongest single predictor of how much operational record exists.
An estimate. The real number is set in writing at the assessment, before you commit anything.
Paid in full by bank transfer, on the terms you signed. A referral share is available if you want it.
The open web has already been trained on. The next data lives inside companies.
Text is spent
Public text is largely used up as a training source.
Agents need practice
A model learns a process by watching it run, and that record sits inside companies.
Europe is underrepresented
Models learn mostly from public data. How European companies actually run, their processes, rules and exceptions, rarely appears in it.
Who is buying: AI labs building agents that work inside European companies, and European model builders training on how European operations run.
The window is now: operational data is scarce today, and scarcity sets the price.
We publish the benchmark that measures the gap: EuroExec.
We license everyday operations data. You decide what stays out.
You set the scope. Three data categories:
Judgement
Your specialists grading model output in their own field.
Routine
How a task is done here, step by step.
Exceptions
What your team does when the routine does not fit.
Handbooks and SOPs, support desks and claims, document stores and redlines, sign-offs and audit trails, ERP and practice-management exports, issue trackers and post-incident reviews.
Personnel files, customer records, credentials, and anything that identifies a person.
Four steps. You can stop after any of them.
Assessment
A call and a look at what you hold, at no cost.
Legal & governance
Basis, scope and exclusions are agreed upon and written down.
Extraction & preparation
One export from the systems you named, prepared entirely on our side. Buyers receive anonymised data only.
- Names, contact details, account references and identifiers buried in free text are stripped out before anything else happens.
- An automated pass runs first, then a named team in Europe reviews the result by hand.
- Anything that cannot be safely anonymised is excluded.
- Raw records stay with that team, inside Europe. A buyer receives the prepared dataset and nothing else.
- You see what the dataset contains and sign it off before it is licensed.
Licence & payment
The dataset is licensed and you are paid.
You control what goes out.
You approve scope
Nothing is included until you say so.
You keep ownership
You license a defined use and keep ownership.
You set exclusions
Name anyone your data may not reach.
You can stop
End future contribution on notice.
A named team in Europe, never a buyer.
Stripped automatically, then a person checks it.
An anonymised dataset in which no person, client or account can be identified.
You also get three things back.
An operations map
You see where the real process differs from the written one.
A provenance record
A record you can use in your own AI Act documentation.
Paid review work
Your experts are paid separately for grading output.
Europe buys AI. Now it can build it.
Lawful basis documented before anything moves, in a form your DPO signs. Handled by EU entities under EU law. Your works council is consulted before contribution starts. Every scope decision is written down as it is made.
Most operating companies do.
Five people or more
Small specialist teams count.
Written records
Something a new joiner could learn from.
European
EU, EEA or UK.
Know a company that should do this? Introduce them, and you earn a share of their first licence.
Refer a companyAsked and answered.
Because labs now train models to do jobs, and the record of how a job is done inside a European company lives in that company's systems.
Process and policy documents, case and ticket systems, document stores, approval and control records, line-of-business exports, and issue trackers. Section 03 lists them, and you name which of them are in scope.
By how much you hold, how far back it goes, how unusual your field is, and whether the licence is exclusive.
No, and nothing is deducted from what you are paid.
A named Sovrano team in Europe, never a buyer.
By bank transfer against the licensed dataset, on the terms you signed.
No, it is removed first, and anything that cannot be anonymised is excluded.
We document it for each category and your DPO reviews it before anything moves.
No, you keep ownership and licence one defined use.
Only if you let them, and exclusions go into the agreement.
A call and a sign-off, plus paid time if your experts grade output.
It is consulted before any contribution starts.
Yes, on notice, and delivered datasets stay under their agreed terms.
Tell us what you hold.
A call, a written view of what is licensable, and a number. At no cost.
Received.
We reply within one business day, then send a written view of what is licensable, and a number.