A worker wearing Luckey head-mounted stereo cameras during real-world data collection

Real-world data for physical intelligence

From real-world egocentric capture to model-ready training data.

Egocentric data infrastructure for physical AI

The data robots learn from.

We capture real work as it happens and deliver robotics-ready training data: enriched, annotated, in your format.

Backed & built by NVIDIA Inception Founders Inc · Canopy OpenAI Select Partner Stanford Tsinghua Google World Labs
Inside the collection network

Real work, captured where it happens.

From kitchens and workshops to retail and production floors—real-world egocentric data collected through our global network.

Human dexterity at planet scale

Real work, by the people who do it.

Staged data trains staged robots. Ours comes from the workers themselves: not lab demos, not actors, not a hired data crew, real people 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. Then the loop closes: your eval results become the next capture brief.

See how raw capture becomes model-ready data
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.

Assurance

Every batch graded. Weak batches never ship.

Task claims are checked against pixels, clip by clip. Every delivery carries manifests, checksums, and a batch grade.

A≥95% clips verified
B≥85% clips verified
Rbelow B. Rejected, never delivered
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.

A fleet of Luckey head-mounted stereo capture devices arranged and ready for real-world data collection A chef wearing a Luckey head-mounted camera with a comparison of typical and ultra-wide fields of view
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 data@luckey.to.