Physical AI
Training data for
physical AI.
We operate our own robot fleet and collect multi-modal training data from real-world deployments. Data that only exists because we built the collection infrastructure.
Infrastructure
Multi-modal
sensor fusion.
Training pipelines
Built for every stage
of the ML lifecycle.
Imitation Learning
Success-labeled trajectories from real robot deployments. Complete state-action pairs with synchronized vision and proprioception. Ready for behavior cloning and inverse RL.
Foundation Model Pre-training
Large-scale multi-modal data across diverse tasks and robot morphologies. Vision-language-action triplets for generalist policy pre-training.
Human-Robot Interaction
Multi-perspective human motion with 3D pose annotations. First-person and external viewpoints synchronized with body landmark tracking.
Production Deployment
Real-world failure modes and edge cases from live deployments. Continuous data collection for online learning and policy updates.
Robot fleet
Cross-embodiment
data collection.
Booster T1
23 DOF humanoid with gripper. Upper-body manipulation specialist for pick-and-place, tool use, and dexterous assembly tasks.
LimX Tron
Full-body bipedal locomotion platform. Dynamic movement capture for walking, balancing, and whole-body coordination tasks.
Trusted by
Robot platforms
Scale your training pipeline.
Start with sample datasets to validate your approach. Scale to petabyte-batch production with custom collection infrastructure.