AV & ADAS

AV & ADAS Perception: From Testing to Production

Surface hidden failure modes and eliminate regressions before your next commercial rollout.

When autonomy meets the road- uncertainty wins

Real-world ODD outgrows your data

New cities, weather, construction, and road users expose gaps that standard mAP metrics fail to catch.

Edge cases drive disengagements

Rare occlusions represent <1% of data but cause >80% of safety incidents and interventions spikes.

One failure, many suspects

Teams can’t quickly explain why it happened or pinpoint the cause, delaying safety sign-off and releases.

Turn test drives into release confidence

De-risk deployment decisions

Identify functional insufficiencies and edge cases before they hit the road.

Close scenario coverage gaps

Generalise rapidly across new operational domains before entering new environments.

Speed up release readiness

Reduce time to root cause and rapidly ship fixes that hold up in real driving.

Tensorleap helps your models hold up in real driving

Explain decision logic

Understand exactly what features your model relied on in complex, safety-critical scenarios.

Detect failure patterns early

Surface recurring failure patterns and domain gaps across drive logs and sensor data.

Fix with proof

Validate improvements and prevent regressions before release.

For teams bringing intelligence to every mile

Engineering
Leaders

Drive confident rollouts with go/no-go signals backed by substantiated evidence.

ML Engineers

Replace manual debugging with automated failure analysis, dataset curation, and proven behavioral fixes.