Egocentric data collection.
First-person 4K video of real people doing real work — hands, tools, homes, kitchens, warehouses.
Robots learn manipulation from human hands. We run managed capture centers where trained collectors — on staff, not crowdsourced — record first-person video of real tasks: cooking, cleaning, folding, assembly, picking, repair.
+1,000 hours of 4K egocentric video. Every day.
You direct the taxonomy. We deliver the hours — raw, curated, or fully annotation-ready through our own labeling teams.
- →Already running. Over 1,000 hours of 4K capture per day, scaling weekly.
- →Directable. Scripted task programs against your taxonomy, or naturalistic full-day capture.
- →Clean provenance. Consent-first collection, full metadata, PII scrubbing.
- →One pipeline. Capture and annotation under one roof — no vendor hand-off.
Capture Spec
What egocentric data do you capture — and can we direct it?
Head-mounted 4K at 30/60 fps with synced audio and IMU (gaze optional), covering real manipulation tasks: cooking, cleaning, folding, assembly, picking, repair. We're capturing hundreds of hours daily and scaling weekly. You can buy from standing programs or direct your own: your taxonomy, your task scripts, your environment requirements. All capture is consent-first with full provenance metadata and PII scrubbing.
How do you handle security, consent, and provenance?
All work happens in access-controlled offices on managed devices, under NDA, with SOC 2 compliance. Capture is consent-first with provenance metadata on every clip and PII scrubbing in the pipeline. Because our workforce is employed rather than crowdsourced, every person who touches your data is identifiable and accountable.
We are building the world's largest pipeline of training-ready egocentric data.
First-person 4K video, captured and labeled specifically for robotics and embodied AI.
4K + LiDAR depth, true metric geometry.
Crisp 4K imagery, much of it paired with LiDAR-derived depth and real-world measurements — the exact 3D geometry, and the real distances between hands and objects, a robot needs to act, not merely perceive.
1,000 full-time annotators, in-house.
Every hour is enriched through our sister company across 11 managed delivery centers — rights-cleared, quality-assured, and formatted for how robot policies learn: hand-object interactions, action sequences, and dense manipulation signal.
Engineered for 10,000 hrs/day.
We turn the single hardest bottleneck in embodied AI — clean, labeled, spatially-grounded real-world data — into dependable, train-on-it-out-of-the-box supply.
A social-enterprise foundation.
That scale creates meaningful, ethical employment — even as it powers the next generation of intelligent machines.
Managed teams. Not gig workers.
Gig platforms churn anonymous workers through your data. We put named, trained, salaried professionals on your project — in offices we run. Same people every day, project-specific training, calibration sessions, dual-pass QA — that's how you hold accuracy a revolving crowd can't reach.
We are building the highest-quality training dataset for physical AI.
Raw hours aren't the moat — annotated, train-ready hours are. At our run-rate (~1,000 hrs/day) we add Ego4D's entire ~3,670-hour corpus every four days, fully annotated and captured across real businesses.
Put 1,200 managed professionals behind your agents and robots.
Capture, annotation, judgment, teleoperation — scoped as a pilot this week.
No commitment required · Pilot results in 48 hours · SOC 2 compliant
Or email us directly: hello@humanrelay.com