01/Coverage
Score coverage against real scenarios.
Measure how much of your scenario space a dataset actually exercises, and where the gaps are, so you find the missing case before it finds you.
Proven safe. On the record.
Validate scores a Physical AI dataset against the scenarios that matter, then produces the signed, immutable evidence behind it: the coverage, the scoring, and the audit trail your customers and regulators now ask to see.
Passing the benchmark isn't proof.
A model can ace its test set and still fail the one case that ends up in an incident report. Before a system ships, you have to show, not assert, that it was checked against the scenarios that decide whether it's safe. Validate turns that from a slide into evidence.
What it actually does.
Five jobs, on whatever data you bring: vendor, in-house, or auto-labeled.
02/Audit
Audit labels against your rules.
Your taxonomies and quality checks run across every frame: minimum labels, boundary fit, missing segmentation, attribute completeness, in seconds, not weeks.
03/Compare
Compare any two label sets.
Put review against final, vendor against vendor, or model against verified data, scored on matching rate, category agreement, and IoU. Evidence, not opinion.
04/Triage
Send experts only where it counts.
Automation ranks the riskiest frames first. Human review lands on those, so experts spend their time on the frames that need judgment, not on frames that were already fine.
05/Audit trail
Leave an audit trail, not a claim.
Every check, score, and correction is recorded and signed. When a regulator asks how you know, you hand over the record instead of rebuilding it.
See it on real data.
The same tools your team works in, from rule checks to frame-by-frame comparison.
Built for the people who ask how you know.
Coverage and scoring are only half of it. The other half is the trail that holds up when someone checks your work.
The report you can act on, the record you can defend.
Every validation produces a report you can act on and a record you can defend: comparison scores, matching rates, IoU distribution, and downloadable mismatch breakdowns, tied to the exact frames they came from.
That evidence is built to map onto the standards your domain runs on, from ASAM OpenLABEL and Safety Pool™ scenario coverage to the documentation the EU AI Act and Euro NCAP now expect. Handled under SOC 2 Type II, ISO 27001, and TISAX.
Walk through a real audit trail→The evidence maps ontoASAM OpenLABELSafety PoolEU AI ActEuro NCAPSOC 2 Type IIISO 27001TISAX
Three ways teams put it to work.
01/Audit
Audit a dataset, change nothing.
A read-only health check: rank the riskiest labels and score quality without touching the data, so you know exactly where a set stands before you commit to fixing it.
02/Verify
Verify what a vendor delivered.
Check external labels against your rules, correct what's wrong, and compare original to corrected side by side, so you verify before you pay or train, not after.
03/Prove
Prove coverage for a release.
Score a release candidate against your scenario set and export the signed evidence your safety case needs, in the format your reviewers already read.
What teams ask before an audit.
What does Validate check?+
Validate scores coverage against real scenarios, audits labels against your rules, compares any two label sets, ranks the riskiest frames for human review, and leaves a signed audit trail behind every result.
Can Validate work on data from any source?+
Yes. It runs on whatever data you bring, whether vendor, in-house, or auto-labeled, so you can audit a dataset, verify what a vendor delivered, or prove coverage for a release.
What evidence does Validate produce?+
Every validation produces a report you can act on and a record you can defend: comparison scores, matching rates, IoU distribution, and downloadable mismatch breakdowns, tied to the exact frames they came from.
Which standards does the evidence map to?+
The evidence maps onto ASAM OpenLABEL and Safety Pool scenario coverage, plus the documentation the EU AI Act and Euro NCAP now expect. It is all handled under SOC 2 Type II, ISO 27001, and TISAX.
How do I get started with Validate?+
Talk to us to walk through a real audit trail, or read the full documentation at help.deepen.ai.
Talk to us to walk through a real audit trail, or read the full documentation at help.deepen.ai.
Ship it with the receipts.
Bring a dataset. We'll score it, surface the gaps, and show you the evidence trail it produces.