for embodied AI.
Embodied AI teams are blocked by infrastructure, not ambition.
One rig. Infinite conditions.
Same physical setup. Thousands of unique test conditions. Our augmentation engine turns one environment into an entire distribution — so you test the ODD, not just the lab.
Built for the teams shipping embodied AI.
Find in hours what used to take months.
Every checkpoint stress-tested across thousands of real-world variants. Bottlenecks surfaced and decomposed — your next iteration is the right one.
R&D budget goes to R&D.
Not rigs.
Stop burning runway on eval infrastructure. Push your policy to our rigs and get depth of testing that would take 6 months to build internally.
Same testbed. Every model.
No excuses.
VLA, classical and hybrid stacks under identical physical conditions. Reproducible, attributable, head-to-head — the way embodied AI research should work.
Predict it. Prove it. Catch it.
Forecast which bins will fail before you train. Prove what your policy actually learned. Catch every failure live on the rig — and feed it back. Three calibrated reports per push, all on real hardware.
Build internally, or with Kvasi.
Find every bottleneck. Accelerate every iteration.
Stop rebuilding eval labs. Start making progress.