Real‑world data for physical AI & robotics teams
Capture, refine, and ship data that trains robots in the real world.
Crossbar Labs helps startups, labs, and research groups build repeatable data pipelines—collection, annotation, and quality loops—tailored to the behaviors you care about.
Fast pilots
Start with a small batch, iterate quickly, then scale.
Quality loops
Protocols + review to keep datasets consistent.
Custom specs
Coverage designed around your model + eval goals.
What we deliver
Data pipelines built for research velocity.
We combine partner-enabled collection with careful specifications and pragmatic QA—so you get datasets that are useful, consistent, and ready to train.
- Custom RGB video collection in real environments
- Annotation and labeling for your downstream tasks
- Dataset packaging with structured manifests
- Repeatable protocols to keep quality stable over time
Collection
Partner sites, protocols, and coordinated capture.
Annotation
Task labels, segmentations, and structured metadata.
QA
Review loops to keep coverage and consistency high.
Delivery
Versioned drops and formats tuned to your pipeline.
Tell us what you’re training. We’ll design the dataset.
If you’re exploring a new behavior, starting a pilot, or scaling an existing pipeline, we’ll help you move quickly without sacrificing quality.