Fueling physical AI with high-fidelity data and closed-loop learning infrastructure — everything between your robot and its next, better model.
The real-world dataset family. High-fidelity, multimodal embodied-AI data — off the shelf, or captured to order. Multiple scenes on demand, new scene families onboard in weeks.
The closed-loop platform. All your data sources in one hub, a mix-and-match processing pipeline, evaluation that finds what's broken — and tells you what to capture next.
Shaped to your actual needs. Scenario design, custom capture, annotation & QA, model evaluation, data strategy — delivered as a service, shaped to your actual needs.
Physical-AI teams run the same loop — find data, ingest it, curate, annotate, augment, QA, version, train, evaluate, deploy, collect failures, repeat. We built the platform around that reality.
Training-ready data, base models, evals that prove no regression.
Connectors, sensor sync, composable pipelines, versioning APIs.
Workbench, auto pre-label, an expert workforce on tap.
Data and evaluation gates, audit trails, release confidence.
The whole loop, managed — infrastructure without headcount.
Progress, cost and compliance in one view.
Data providers, scene enterprises, physical-AI teams and resellers — join the loop.
We're built to be a long-term infrastructure partner for the physical-AI age — and we win only when your models do.