Robotic Data
About

Building the Data Infrastructure for Physical AI.

Robotic Data exists for one purpose: creating the real-world data that enables robots to understand, navigate, and interact with the physical world.

We combine World Data and Human Data to build the foundation for autonomous vehicles, humanoid robots, drones, embodied AI, and the next generation of Physical AI systems.

From nationwide mapping programs to large-scale human data collection, our mission is to provide the world's highest-quality real-world datasets, at a scale unmatched by traditional data providers.

Mission

World Data and Human Data, unified.

Robotic Data combines the environments robots operate in with the behaviors they must learn from, building the one connected foundation Physical AI requires.

Trusted by the World's Leading AI Companies

Eight years serving the frontier of intelligent systems.

For more than eight years, our team has partnered with many of the world's most innovative technology companies, delivering enterprise-scale data programs across autonomous driving, robotics, AI foundation models, digital twins, and next-generation intelligent systems.

Our expertise combines robotics, artificial intelligence, geospatial engineering, computer vision, and large-scale global operations.

Global Operations

Headquartered in Austin, Texas.

Robotic Data operates globally with offices in:

  • Austin, Texas (Headquarters)
  • San Francisco, California
  • Mexico City, Mexico
  • London, United Kingdom
  • Porto, Portugal
  • Taipei, Taiwan

Our operational teams have delivered projects across more than 26 countries, supporting customers wherever data is needed.

By the Numbers

A track record of scale and endurance.

Countries
26+
Where World Data has been captured.
Countries
12+
With active Human Data collection.
Participants
250,000+
In our human data platform.
Hours
100,000+
Of Human Data collected.
Years
8+
Supporting leading AI and technology companies.
Physical AI
One mission
Building the world's data infrastructure for Physical AI.