A Robotics Data Company

Building the Data Layer for Physical AI

Robata builds structured data pipelines for the next generation of humanoids, Physical AI, and world model systems, from data collection to quality assessment, annotation, and delivery.

The System

From human motion to machine intelligence

Robata connects high-quality data collection environments with professional capture devices and structured workflows, turning real-world human tasks into usable robotic learning data.

01 / Capture

First-person operational data

Collect task-level video, motion, and contextual data from realistic work environments using portable capture systems.

02 / Structure

Designed for downstream training

Convert raw human demonstrations into organized datasets with task taxonomy, quality control, action segmentation and scenario metadata.

03 / Scale

Repeatable data supply

Build an expandable contributor and site network for consistent collection across geographies, tasks, and verticals.

Why robotics data is different

Robotics needs more than internet-scale video. It needs grounded, task-specific, sensor-aligned demonstrations that teach machines how people actually interact with the physical world.

What Robata provides

  • Task simulation and workflow design for repeatable data collection.
  • Device-enabled capture across video, motion, and operational context.
  • Quality control, annotation and dataset packaging for robotics and Physical AI teams.
  • Flexible pilot-to-scale commercial structure for strategic partners.
Use Cases

Built for Physical AI

Robata focuses on practical, high-frequency human tasks where structured demonstrations can directly improve robotic behavior and real-world automation.

Physical AI systems
Real-world tasks
Manipulation and tool use
Humanoid task learning
Training center simulations
Operational safety data
Robotic foundation models
Enterprise automation
Contact

Build your next robotics data pipeline with Robata

For robotics companies, AI labs, and strategic partners exploring scalable real-world data supply.