Physical AI · Demonstration Data
Humanoids don't learn from manuals — they learn from human demonstrations. Nostromo Labs collects, annotates, and packages that data for embodied-AI teams: egocentric video, episode-level labels, and teleoperation-ready pipelines.
Capabilities
Robot foundation models are bottlenecked by manipulation data. We run the human side of that pipeline so your researchers stay on the model side.
First-person video of real hands performing real tasks — kitchens, workshops, assembly lines — captured by our trained contributor network across the Americas, following your task scripts and camera protocols.
● ONLINE — available now
Success / failure / recovery tags, grasp events, object tracks, and language instructions on your teleop or video data. Cleaned, deduplicated, and packaged for training — with a documented QA trail per episode.
● ONLINE — available now
Certified operators generating demonstrations on client-matched hardware — scenario scripting, in-session QC, and delivery straight into your training pipeline, from our nearshore facility.
● WAITLIST — pilot partners
Coverage
We speak your taxonomy. Specialized in deformable-object and household manipulation — the hardest data to source — with full coverage across domains and modalities.
Standing catalog. A growing library of pre-collected, licensable episode sets — Latin American homes, workshops, and voices that public datasets don't cover. Ask for the current index.
Request indexIndustries
Every program teaching a machine to act in the physical world runs on human demonstrations. These are the teams we build data for.
// Also serving food-service and agricultural robotics programs — ask us.
Sample data
A stylized preview of the unit we deliver: one attempt at one task, captured on video, labeled end to end. Real footage is shared per request — every engagement starts with an actual sample batch.
// Stylized illustration — request an actual labeled sample batch and judge the real thing: book a pilot.
Pipeline
You define tasks, environments, and success criteria. We convert them into collection scripts and operator briefs.
A labeled sample in your exact format, so you validate framing and label quality before scaling.
Contributor network and capture team run concurrently with in-session QC and daily throughput reports.
Datasets streamed into your training pipeline with per-episode review logs.
Operations
Built to work the way US robotics programs actually procure: an American entity to contract with, and a nearshore operation you can visit in a four-hour flight.
Start small · Ship fast
Tell us one task your robot struggles with. We'll return a labeled sample batch — egocentric video, audio, or annotation on your data — so you judge quality before committing to anything.