The data layer for embodied AI

01 — Robotics companies

Train policies on real-world manipulation data

Simulation never fully captures the variance of physical spaces. Our ego-centric POV dataset—recorded in residential and light-industrial settings—gives your team ground-truth observations of human-level dexterity without running thousands of hardware hours.

• Pre-labelled pick-and-place, handover, and navigation sequences
• Synchronized RGB, depth, and IMU streams per session
• Compatible with LeRobot, OpenVLA, and diffusion-policy pipelines

02 — AI / ML research labs

Reproduce and benchmark across a growing corpus

Versioned dataset snapshots let you pin a corpus and publish reproducible baselines. Every release ships with a schema manifest, provenance log, and per-frame quality scores so reviewers can verify your setup instantly.

• Immutable releases with semantic tags
• Per-frame confidence and QA scores included
• Annotation schema published for reproducibility

03 — Universities & research groups

World-scale data without the capture budget

Running your own data collection programme costs months and significant hardware investment. ROBOTRAIN provides access to physically diverse, richly annotated robotics video so you can focus on the research problem, not logistics.

• Academic programme — terms published with public releases
• Ego-centric framing ideal for imitation learning
• Corpus grows as new network captures clear QA