To accelerate AD/ADAS Validation
Seamlessly integrating with simulation and validation benches to improve coverage, reduce costs, and enable production-ready autonomy
One foundation. Every bench. From pure software to real vehicle.
KWFM is KPIT's automotive-grade foundation model that generates millions of lifelike driving scenarios on demand, tuned for every geography and every sensor stack. It empowers automakers to validate their autonomous driving stacks against every conceivable scenario, without driving millions of real miles on the road.
Trained for geographic and segment variations.
Optimized model for real-time executions.
Integrated with leading simulation engines.
Integrated with HD maps for real-world road grounding.
Stretch your existing data. Find the ODD gaps. Multiply coverage.
No data? Start from KPIT's Scenario Catalogue. Generate scenes the road can't safely create.
General-purpose world models serve robotics, warehousing, medicine and automotive from a single training base. KWFM is purpose-trained for autonomous driving, fine-tuned by geography, configured for the specific sensor modalities used in automotive perception, and quantized to run at production cost. KWFM produces physics-consistent reflections, road textures, lane and sign artefacts that general models miss.
KWFM runs inside your infrastructure. Sensitive programme data, HIL Rigs data stay on your premises or cloud tenancy. Our engineers work alongside your team to fine-tune the model, generate scenarios and integrate with your HIL benches.
On the BRISQUE perceptual realism index, KWFM-generated scenes sit adjacent to real-world driving video and a clear distance ahead of conventional simulation output. Reflections, road textures, pedestrian behaviour, camera glare and weather artefacts are all represented at a level that lets your AD stack react as it would on the actual road.
Coverage is anchored to your Operational Design Domain (ODD). Starting from the ODD definition, KWFM generates scenarios systematically across the corner cases and adversarial conditions it implies — and traces them back to NCAP, GSR, UN R157, ISO 26262 functional safety and ISO 21448 SOTIF requirements. Every generated scenario maps to a regulatory or programme requirement, so you can demonstrate completeness, not just volume.
Yes. KWFM is fine-tuned for your geography and run inside your environment, letting your team systematically validate that the integrated stack behaves correctly in the world your customers will actually drive in — well before the vehicle test.
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