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Find the failure before the factory.

Randomised scenarios expose distribution-shift failures and route the missing coverage back into targeted physical capture.

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Selected engagement
One captured task

Physical capture cannot cover every object, light and disturbance.

The hard problem

Physical capture alone could not cover the object, lighting, layout and disturbance variation needed for robust deployment. A single aggregate success score could hide the difficult slices.

Our advantage

The programme used Isaac Lab and Cosmos-class world models to generate randomised rollouts, train diffusion-policy heads and analyse results by distribution shift. Paired simulated and physical scenario suites, interlocks and realism audits located transfer gaps.

Value delivered

The team delivered scenario libraries, rollout telemetry, hardened checkpoints, failure clusters and sim-to-real gap reports.

Platform context.

Softinator capability dossierSelected programme portfolio

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requirement.

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