Shipped systems, not slide decks
A selection of flagship builds that demonstrate what we bring to client engagements.
GOAT RACER ONE
A fully autonomous RC racing platform trained entirely in simulation and deployed to real hardware. End-to-end Sim2Real: URDF authoring, IsaacLab environment, PPO training, ONNX export, TensorRT optimization, and Jetson deployment.
Demonstrated live on NVIDIA Omniverse Livestreams. The same loop we bring to client work: simulate, train, transfer, ship.
What the loop looks like
Every engagement moves through the same five-stage pipeline. We own all of it.
1 · Model the world
URDF / USD assets, sensor models, physics parameters. Digital twins from Gaussian splats or CAD.
2 · Train the policy
IsaacLab + PPO. Domain randomization, reward shaping, and curriculum across thousands of parallel envs.
3 · Export & optimize
PyTorch → ONNX → TensorRT. INT8 / FP16 calibration. Profile every stage of the graph.
4 · Deploy to hardware
Jetson Orin or DGX Spark edge. ROS 2 / custom runtime. Integrated with VESC, RealSense, and custom sensors.
5 · Measure & iterate
Telemetry, replay, and regression. Close the sim↔real gap with real-world data fed back to training.
Done · Hand off
Documentation, training for your team, and a reproducible pipeline so the loop keeps turning without us.
Got a system to build?
If you can describe the problem, we can scope the loop.