Human Data · Physical AI

Teach robots by showing them how people actually behave.

Robotic Data captures real human action, environments, and context at scale, then structures it for training, so your team spends its time on the robot, not the data supply chain.

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TRUSTED BY THE WORLD'S LEADING AI COMPANIES

For more than eight years we have partnered with many of the world's most innovative technology companies, supporting autonomous vehicles, delivery drones, robotics platforms, AI foundation models and next-generation Physical AI systems. Our customers trust us to solve the most demanding real-world data challenges, quickly, accurately and at global scale.

The internet doesn't teach a robot how to move through the real world.

Models trained without real human behavior miss the edge cases that matter: how people actually grasp, move, and react in real environments. Building that data internally means hiring a collection team, building tooling, and running fieldwork before a single training run starts.

What you get

Real human behavior, not a guess.

Egocentric and third-person video, 3D capture, and motion data, captured in real environments and real tasks.

Structured for training, not just collected.

Human Actions, Human Environments, and Human Context data, ready to drop into your pipeline.

Scale without the hiring plan.

A global collection capability already exists, so your training run isn't waiting on you to build one.

Trusted by teams building Physical AI

Robotic Data has delivered custom human datasets for major technology leaders and Fortune 500 enterprises.

Questions, answered

Synthetic data can fill gaps, but it can't fully capture the messiness of the real world. Real human data is the grounding your model ultimately has to hold up against. It's also worth noting: simulation and digital-humans teams are customers of ours too.

Standing up global fieldwork, tooling, and QA internally takes time and a standing team. This capability already exists, so you skip the build.

Human Actions (tasks, movement, manipulation, fine motor, interaction), Human Environments (homes, workplaces, retail, healthcare, industrial, public), and Human Context (speech, social interaction, intent, environmental audio).

Egocentric and third-person video, 3D capture (LiDAR, volumetric video, Gaussian Splats), audio and speech, wearable-camera and motion-capture data, and mobile/static 3D scans.

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