SAE Level 4 autonomous truck deployment — End-to-end driverless operation of commercial trucks using SuperDrive™, covering perception, prediction, planning, and control via DNN models.
Physical AI model development — Using HyperFoundry™ to train, validate, and distill large autonomous driving models from production-grade real-world and simulated data.
Auto-labeling pipelines — Reducing data annotation costs and time through automated labeling of sensor data collected from real-world trucking deployments.
Simulation and safety validation — Running high-fidelity simulation environments for edge-case testing, safety case construction, and regulatory compliance before on-road deployment.
Foundation model integration — Incorporating open models like NVIDIA Alpamayo into the autonomy stack for enhanced world understanding and faster iteration cycles.
OEM software stack integration — Embedding SuperDrive™ software directly into factory truck production pipelines, enabling seamless hardware-software co-development with global manufacturers.

Plus AI