Robot training data. At 1/10 the cost.

Openbread coordinates expert teleoperators to generate high-quality BC/RL datasets — delivered via API. No hardware. No overhead. Just trajectories.

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How it works

Submit a task

POST your robot task spec — environment, success criteria, number of demos — to the Openbread API.

We coordinate operators

Our platform routes the task to verified teleoperators. Quality is scored automatically. Bad demos are filtered out.

Receive your dataset

Download a clean, annotated dataset in standard format (HDF5 / RLDS). Ready for BC training or RL initialization.

Built for robotics researchers

1/10 the cost

Distributed remote operators + smart task routing means no lab overhead, no hardware procurement.

API-first

POST a task, GET a dataset. Integrate directly into your training pipeline.

Quality guaranteed

Operator scoring, outlier filtering, and per-trajectory review baked in.

Standard formats

HDF5, RLDS, and LeRobot-compatible outputs. Plug into your existing stack.

Fast turnaround

Most tasks complete within 24-48 hours depending on complexity.

Built for research

Flexible task specs, custom success criteria, and academic pricing available.

Clean API. Zero ops.

Submit tasks and retrieve datasets with a handful of HTTP calls.

# Submit a task
POST /v1/tasks
{
  "environment": "franka-kitchen",
  "task": "open_microwave",
  "num_demos": 50,
  "success_criteria": "microwave_open == True"
}

# Poll status
GET /v1/tasks/{task_id}

# Download dataset
GET /v1/tasks/{task_id}/dataset
→ Returns HDF5 / RLDS archive