Ego-centric data
High-fidelity human–robot interaction and performance data from residential and manufacturing settings.
Robotics data infrastructure
Archiving the physical world for embodied intelligence
The largest annotated multimodal dataset for dexterous, perceptive robots—captured in the real world, processed with rigour, and delivered ready for your training stack.
What we deliver
One stack for physical intelligence data
Four pillars that work together—from capture through to the files your training jobs consume.
Custom hardware
Proprietary capture rigs informed by biomimicry and humanoid sensing—consistent across sessions.
Processing pipeline
QA, anonymization, and annotation pipelines that output training-ready tensor bundles.
Frontier datasets
Robotics-first releases—including 150 POV annotated videos—with multimodal labels for embodied agents.
Robotic datasets
POV video built for embodied models—not the web
Synchronized labels for manipulation, navigation, and scene understanding. Every clip is reviewed for consistency before it ships in a versioned release.
How we ship data on the platform150
POV annotated videos
A curated slice of first-person robotics video with rich annotations for policy and perception research. The catalog grows as new captures clear QA.
System status · Optimal
Constructing the future of sensory intelligence
Hardware integration
Direct telemetry from industrial controllers, normalized into training-ready tensors in real time.
Reliability
99.9
Uptime SLA · Guaranteed