Solutions · 03 · Robotaxi & Autonomous Mobility
Validation is the release gate.
Driverless fleets whose software is re-validated before every release — for regulators as much as for the road.
The problem
A robotaxi stack does not ship because it passed a benchmark. It ships because every candidate build has been replayed against the whole scenario library, and because someone can show a regulator what happened in each case. That library only grows: every incident, every disengagement, every near-miss becomes a permanent test. Validation stops being an experiment and becomes a recurring industrial workload with a deadline attached.
How the loop runs here
Log replay against recorded drives, sensor simulation, and closed-loop safety runs across thousands of scenarios in parallel, with pass/fail per scenario and the trace behind every failure.
Each new failure becomes a scenario family: the same situation under variations the fleet has not driven, so the fix is proven against the class of problem rather than the single recorded instance.
Targeted post-training on the cases that failed, without disturbing what already passes.
What we provide
- Burst capacity sized to your release cadence, reserved so the deadline holds
- Parallel scenario execution rather than an overnight queue
- Reproducible runs: the same build, the same seeds, the same result
- Artefacts you can hand to a safety case, not just a dashboard number
Industry context
NVIDIA's position at GTC 2026: "Physical AI has arrived — every industrial company will become a robotics company." The validation burden arrives with it.
Source: NVIDIA Newsroom, 16 Mar 2026