Approaching a release
Programs heading into homologation or sign-off that have to show, not assert, that the system was checked against the scenarios that decide whether it is safe.
Independent scenario coverage scoring and an audit-ready evidence trail, run by our safety specialists. Bring a dataset; we measure what it actually exercises, surface the gaps, and give you the signed record regulators and customers ask to see. The same Validate engine that powers the product, run for you.

The service fits teams approaching homologation or audit who need coverage scored and certified against the standards regulators read, without standing up the scoring practice in-house. We run validation; the Validate product puts the same engine in your hands.
Programs heading into homologation or sign-off that have to show, not assert, that the system was checked against the scenarios that decide whether it is safe.
Teams whose customers, partners, or regulators are about to ask how you know, and need an evidence trail that holds up instead of a slide that claims.
Teams that need an independent score on their own or a vendor's data, run by specialists who do not have a stake in the result.
A complete validation program, built on the same proprietary engine that runs the Validate product, delivered as a score you can act on and a record you can defend.
We measure how much of your scenario space a dataset actually exercises and where the gaps are, so the missing case turns up here instead of in an incident report.
Label sets scored against your rules and against each other, on matching rate, category agreement, and IoU, so quality is measured, not assumed.
We rank the riskiest frames first and pinpoint the scenarios your data underrepresents, so you know exactly what to capture or fix before you commit.
Every check, score, and correction recorded and signed, tied to the exact frames it came from, so when a reviewer asks how you know you hand over the record instead of rebuilding it.
Coverage scored against Safety Pool scenarios and mapped onto ASAM OpenLABEL, so your evidence speaks the format your reviewers already read.
Comparison scores, matching rates, IoU distribution, and downloadable mismatch breakdowns, assembled into the documentation an EU AI Act or Euro NCAP review now expects.
A dedicated team, a shared plan, and reporting you can act on. The same engagement model backs every Deepen service, framed here for validation and certification.
We set your scenario space, taxonomies, quality rules, and the standards your evidence has to map onto.
A dedicated program manager owns scoring quality, communication, and delivery.
A focused pilot scores a sample of your data and shows the evidence trail it produces before you commit at scale.
We score the full release candidate and export the signed evidence your safety case needs, with QA throughout.
Validation is where a safety case stands or falls. We score against the scenarios that matter and produce evidence built to map onto the standards your domain runs on.
Bring a dataset. Our team will score it, surface the gaps, and deliver the signed evidence trail your customers and regulators ask to see.