We capture and construct ground-truth reality (space, time, and physics) as training data for the next generation of robotics
We capture and construct ground-truth reality (space, time, and physics) as training data for the next generation of robotics. AI’s next act is physical, but there is no internet-scale corpus of physical behavior to train on. To close this “reality gap,” we invented a proprietary, multi-sensor volumetric capture studio and software calibrated to record masses of 4D environments with embedded physics. We capture complex, ultra-accurate physical interactions that traditional approaches (e.g., simulators) simply cannot provide. By training on volumes of our ground-truth data, AI can finally understand reality, so robots can help in everyday life — and safely bring us closer toward AGI.