Our Solution
Six interconnected data systems that together form the complete infrastructure for Physical AI training at scale.
Egocentric Video Capture
We capture high-fidelity, first-person video data from real-world environments such as homes, factories, labs, and beyond. This egocentric perspective is essential for training embodied AI systems that must understand the world from a human or robot point of view.
Multimodal Sensor Streams
Beyond video, our datasets include synchronized audio, inertial measurement data, depth maps, and environmental sensors. This rich, multimodal grounding is what separates functional AI from truly intelligent systems.
Hand-Object Interactions
Physical intelligence requires understanding how hands interact with objects. We specialize in fine-grained hand-object interaction recordings with precise keypoint tracking, force estimation, and object state annotations.
Structured Task Annotations
Raw data is noise. Our expert annotation teams apply hierarchical task-level labeling, from atomic actions to long-horizon goals, creating datasets with the semantic richness required for genuine machine understanding.
Petabyte-Scale Pipelines
Data collection is worthless without the infrastructure to process and deliver it. Our distributed pipelines handle petabyte-scale ingestion, processing, and quality control that is built on battle-tested cloud architecture.
Secure Delivery Infrastructure
Research data is sensitive. Our secure, encrypted delivery infrastructure ensures your data is protected at rest and in transit, with granular access controls and full compliance with international data regulations.
End-to-End Data Architecture
Who Uses Our Data
Robotics Research
Training general-purpose robot manipulation policies
Wearable AI
Powering contextual AI for AR/VR and smart glasses
Autonomous Systems
Real-world scene understanding for autonomous agents
Embodied LLMs
Grounding language models in physical world understanding
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