
Label and train robot actions
Turn task attempts into structured episodes, rewards, success metrics, and reusable model runs.
RobosetRecord everyday tasks or teleoperate real robot arms. Verified on-chain, licensed to Physical AI labs, paid in USDC.
Robot data infrastructure
Build reliable robot policies with multimodal task data, manual demonstrations, live simulation feedback, and model analytics designed for robotics workflows.

Turn task attempts into structured episodes, rewards, success metrics, and reusable model runs.

Record manual robot controls and use real operator attempts to warm-start training runs.

Track episodes, rewards, task accuracy, saved models, and leaderboard progress from one account.
Robot data pipeline
From task attempts to reusable model runs, every step stays structured, measurable, and ready for training.
Data-as-a-Service for production-grade AI
Collect keyboard-driven demonstrations with clean episode metadata and replayable task attempts.
Run episode-based auto training while tracking live rewards, success rate, and saved models.
Group tasks, accuracy, episode counts, and model results into production-ready dataset views.
Trainer spotlight
Roboset turns manual attempts and auto episodes into tracked model runs, so every task has clear accuracy, reward, and replay history.
Built for Physical AI
Task-specific data, demonstrations, and reinforcement learning analytics.
Structured robotics data for reliable model development.
Structured robotics data for reliable model development.
Structured robotics data for reliable model development.
Structured robotics data for reliable model development.
Trusted by builders
Record everyday tasks or teleoperate real robot arms. Verified on-chain, licensed to Physical AI labs, paid in USDC.