
Real Robot Data
Multimodal data acquisition in real environments, covering all dimensions of environmental perception, joint motion, and tactile information.
Real-world, simulation, and human demonstration data are supplied in synergy to meet the data needs of embodied models—from physical interaction to large-scale deployment.

Multimodal data acquisition in real environments, covering all dimensions of environmental perception, joint motion, and tactile information.

High-fidelity physics and rendering pipelines generate large-scale synthetic data, enabling low-cost data augmentation and accelerating model iteration and generalization.

Wearable devices and first-person vision capture systems build transferable skill paradigms and behavioral benchmarks.

Maniformer launches a global co-creation initiative for the physical AI data ecosystem, breaking down data silos across industries. We aim to build a standardized, scalable, and reusable network for physical AI data circulation and connect data providers with consumers worldwide. Empower AI with global data to accelerate the advent of the Agent Era.

Access global supply-demand network, share massive orders

Unify data standards to reduce collaboration costs

Priority in software, hardware, and dataset ecosystems

Joint white papers for thought leadership and influence

Share tech and capital to fuel industry takeoff