Driven by the first-principle conviction that Embodied Intelligence is the essential path to AGI, we are redefining the intersection of the digital and physical worlds. Our proprietary RoboNet framework transforms robots from simple machines into intelligent data interfaces, shifting the paradigm from static offline training to dynamic Physical AI powered by automated, online intervention learning.

We are building the "Next-Generation" Physical Large Model—a critical bridge connecting human-centric Generative AI (World Models) with the rigorous demands of the physical environment. By fusing vast data streams from virtual simulations with high-fidelity spatiotemporal data from real-world interactions, we enable zero-shot generalization for unseen robots. Our vision is to create a complementary ecosystem where virtual intelligence and physical reality merge, unlocking the true potential of General Purpose Robotics.