
Real-world Data
Multi-modal capture in real environments, covering perception, joint motion and tactile information across all dimensions
Real-world, simulation and human demonstration data supplied in synergy, meeting embodied models’ data needs from physical interaction to large-scale delivery

Multi-modal capture in real environments, covering perception, joint motion and tactile information across all dimensions

Large-scale synthetic data from high-fidelity physics and rendering pipelines, low-cost augmentation that accelerates model iteration and generalization

Wearable devices and first-person capture systems that build transferable skill paradigms and behavioral benchmarks
Maniformer launches a global physical AI data ecosystem initiative to break down industry data silos, linking data suppliers and consumers worldwide to build a standardized, scalable and reusable physical AI data circulation network — letting global data serve embodied intelligence efficiently and jointly accelerating the era of intelligent agents.

Access the global supply-demand network and share massive order flow

Unify data standards and lower collaboration costs

Priority participation in hardware, software and dataset ecosystem building

Jointly publish white papers and build shared thought leadership

Share technology and capital to drive industry breakthroughs