De-identification
Names, identifiers, secrets and client details removed or replaced consistently, so records stay useful without pointing to anyone.
Labs pay more for data that's ready to use. If you want, we turn your raw records into clean, documented, training-ready datasets. If you'd rather license as-is, that works too.
| License as-is | Packaged by Osventa | |
|---|---|---|
| What labs receive | Your de-identified export | Structured, labelled, documented datasets |
| Buyers it suits | Labs with their own data teams | Most labs, including those who need it ready to train |
| Price and terms | Market price for the raw records | Typically stronger, because less work is left for the buyer |
| Your effort | A few hours | A few hours, plus sample reviews |
| Cost to you | Nothing upfront | Quoted separately, agreed before we start |
Names, identifiers, secrets and client details removed or replaced consistently, so records stay useful without pointing to anyone.
Scattered exports joined into clean, consistent datasets: one schema, linked records, no duplicates.
Real work turned into training material, e.g. tickets into step-by-step agent tasks, or code changes paired with their reviews.
Domain experts tag outcomes, quality and edge cases where a lab needs ground truth.
Documentation labs need for their own compliance: sources, rights, coverage and known gaps.
Coverage, consistency and leakage checks before anything reaches a buyer, so acceptance goes smoothly.
Packaging never starts without your sign-off on scope and price, and nothing leaves your hands without your review.
We look at the raw data and tell you which packaging steps would actually change the price, and which wouldn't.
You choose the steps. Packaging is quoted separately, and you can stop at any point.
We do the work in your environment or in an isolated workspace, with access limited to the people on your project.
You review samples of the packaged output before it goes to any buyer.
Two minutes, no obligation, nothing leaves your systems.
Get an estimate