Egocentric data infrastructure for physical AI

The data robots learn from, captured as real work happens.

We turn everyday human work into robotics-ready training data: enriched, annotated, and delivered in your format.

Backed & built by NVIDIA Inception Founders Inc · Canopy Stanford Tsinghua Google World Labs Forbes 30 Under 30 Red Dot Best of the Best
Human dexterity at planet scale

Real work, by the people who do it.

Not lab demos, not actors, not a hired data crew, the workers themselves, capturing their normal shift on factory floors, in kitchens, warehouses, and workshops.

5continents
20,000+collector network
environments
Data engine

Five layers. One system.

How a worker's shift becomes training data: one pipeline from photons to your schema, with quality measured at every step.

01

Capture

Global shutter rigs worn during real shifts. 20,000 collectors across five continents.

02

Sync

Timestamps written into the pixels of every frame. Sync survives every copy, transcode, and cut.

03

Refine

Automated ingest: hardware transcode, hand pose and depth enrichment, session assembly.

04

Verify

Every batch ships with a QC report: frame timing, drop rate, sync integrity. Under 0.1 percent frames lost, measured.

05

Deliver

Your schema, not ours: mcap, custom protobuf contracts, per-customer format compilers. Fleet firmware ships over the air.

Capture hardware

Three streams. One clock.

The rig our own collectors wear every day, available to labs and data teams. Field problems become hardware revisions in weeks, not quarters. Ultra-wide field of view: arms overhead, hands still in frame.

Ultra-wide field of view keeps a raised hand fully in frame while a typical camera loses it A human hand in motion passing skill to a robot hand
Cameras
2× global shutter, color, 1920×1200, up to 60 fps
Stereo sync
<1 µs
IMU to exposure
6-axis, timestamped in every frame, <10 µs
Multi-device sync
<100 µs across additional USB cameras
Field of view
Ultra-wide fisheye, multiple lens configurations
Calibration
Measured per-device report: stereo extrinsics + camera-IMU
Output
mcap for ROS 2, or raw video + IMU stream
Runtime
12+ hours on a power bank, microSD, Wi-Fi live preview
Configurations
Stereo headband, multi-camera headband, wrist camera

In production use with US customers. In stock: $1,180 per unit, $850 at 25 or more. Large batches ship in 1 to 2 weeks.

Next step

Tell us what you're training.

We scope the dataset, design the pipeline, and deliver training-ready data on your timeline. Start with a sample plan and the smallest useful pilot.

Goes straight to our team, or email shawn@luckey.to.