Build the conditions.
Understand the policy.

Environments, benchmarks and applied research for robotics and world-model labs. A place to train, test and understand how models behave in the physical world.

Conceptual robotics test bench: a gripper moves a cube toward a target, with its path shown inside a controlled experiment space. — A controlled environment for repeatable experiments.

Environments

Reusable and custom environments for training and testing. Define the task, vary the conditions, and repeat the experiment—from a single manipulation skill to a complete workflow.

Task designScenario variationRepeatable runs

Benchmarks

Know what improved, and what still fails. Evaluate models against defined tasks and conditions, with clear metrics and documented protocols.

Evaluation suitesFailure analysisComparable results

Applied research

Custom experiments and evaluation studies around your lab’s questions. Investigate failure modes, test data and policy choices, and turn results into the next research decision.

Working with real-world data?
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Start with a research question

Book a conversation about what you’re training, what you need to measure, and where the current approach breaks down.

Discuss your research

Build the conditions.Understand the policy.

Environments

Benchmarks

Applied research

Start with a research question

Build the conditions.
Understand the policy.