One platform for robotics teams to generate training data and validate policy behavior at the fidelity each task requires. Built on our in-house physics and sensor simulation engine.
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Determining optimal sensor hardware and its placement shouldn’t have to wait on your robot vendor or internal hardware teams. De-risk embodiment and end-effectors before procurement by comparing performance across competing designs, before you can physically obtain them, and use high-fidelity sensor modeling with desired noise and bias to settle sensor selection and placement.
The long tail of problems robotics can have is extensive and impossible to be covered fully using real-world data collection. Fill the gaps real operations can’t: rare classes, edge cases, lighting, occlusions, and more.
Simulate collisions, near misses, and equipment failures too risky to stage for real. Pixel-perfect masks, depth, and bounding boxes across synchronized lidar, RGB, depth, and IMU.
Generate demonstrations and test policies for grasping, locomotion, and navigation.
Simulate at a scale real operations can’t match. Expand a small set of teleoperations demonstrations into thousands of variations. Our robot models have real mass, torque limits, and joint friction, so your policies actually transfer.
Prove a robot or fleet of robots works in a specific facility before you deploy. Replicate the site from floor plans or lidar scans. Test multi-robot traffic, task allocation, and deadlock at a scale impossible in the real world. Build coverage evidence toward applicable industrial robot safety standards.
We help you integrate into your CI pipelines, so you can always obtain the signal you need, when you need it.