documented synthetic data,
by design.
waiser data is part of the waiser family. We build governance infrastructure for organisations that develop and adopt AI — and a marketplace for the data those organisations actually need: synthetic, verified, and shipped with the paperwork already done.
Mission
Make synthetic data usable — not just technically, but also legally, ethically and operationally.
Most synthetic data today is a file someone generated, posted, and walked away from. That's enough for a demo, not for production. We treat each dataset as a product with a documented origin, a defined permitted use, and limits stated up front — so the teams who consume it can defend the decision to use it.
What we believe
Datasets without documentation, origin proof and clear limitations create risk. Documentation is part of the product, not an afterthought.
A dataset and its documentation are inseparable. Strip away the dossier and you're back to guessing about provenance, suitability and exposure. We'd rather ship fewer datasets, each with a serious paper trail, than a long catalogue of files nobody can vouch for.
Why documentation matters
As AI regulation matures, organisations need to demonstrate how they evaluate, test and validate their AI systems. Documented data is the foundation.
Whether you're answering an auditor, a customer's security questionnaire, or your own legal team, the question is the same: where did this data come from, and what are you allowed to do with it? Every waiser dataset answers both before you commit.
four positions we don't compromise on.
Every product decision — what to list, what to refuse, how a dossier looks — runs through these. They're written down so we can be held to them.
Documentation is the product
A dataset without a dossier is half a product. We sell both, or neither.
Hover to read moreDocumentation is the product
Origin, generation method, legal posture, ethical notes, quality and limits arrive in the same package as the data. If we can't document something, we don't list it.
Synthetic is not automatically safe
We name the risks instead of pretending they don't exist.
Hover to read moreSynthetic is not automatically safe
Residual re-identification, inherited bias, over-specific edge cases — synthetic data carries its own failure modes. Each dossier flags the ones that apply, so your team makes an informed call.
Permitted use, in writing
Training, validation, testing, demo, commercial — each is allowed or not, explicitly.
Hover to read morePermitted use, in writing
Every licence states what's allowed and what isn't. You don't have to read between the lines, and you don't have to ask. The grey area is where exposure lives.
Verification before listing
Technical, legal and ethical review happens before a dataset reaches the catalog.
Hover to read moreVerification before listing
We say what we checked, what we didn't, and on what evidence. Verification is a documented assessment for a defined intended use — not a guarantee of legal perfection.
what waiser data is not.
- Not a legal opinion service.Our review is a documented assessment for a defined intended use. Your counsel still has the final word.
- Not a synthetic data generator.We curate, verify and license datasets produced by serious providers — we don't pretend the model that generated them is ours.
- Not a scraped corpora exchange.If a dataset's origin can't be documented and licensed, it doesn't reach the catalog. Period.
see what a documented dataset actually looks like.
Open the catalog and read a real dossier — origin, permitted use, ethical notes and limits, written down.