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Egocentric data collection · Manufacturing & industrial work

Real-world data from the production floor.

We collect egocentric video, hand interaction and motion data from real manufacturing and industrial work (sorting, packing, machine tending, weaving and stitching) for teams building Physical AI and robotics.

Captured on working production floors, not staged for the camera.

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Proof of value

Real hours,
delivered.

Across the environments we work in (manufacturing included), we don't argue data quality on a call. We ship footage, teams run it through their own pipelines, and the next order follows.

80,257

hours of first-person footage delivered

Shipped to teams and running in their pipelines today, and counting.

What we capture

Production and craft tasks,
hand by hand.

From packaged-goods lines to handloom weaving and garment stitching: the fine hand movements that make up industrial and craft production.

Hands loading packed sachets from a conveyor into a stacking crate.
Sorting packed goods between crates beside a production line.
Hands positioning a component on a workbench.
Metal parts laid out on a work surface during assembly.
Hands working the warp threads across the width of a handloom.
Feeding fabric under the needle of an industrial sewing machine.
Guiding a cut panel through a stitching operation.
Tying threads at the loom between passes.

This is the widest environment we cover. Factory-line sorting and packing sit alongside handloom weaving and machine stitching, because both involve the kind of precise, repeated hand interaction robotics models need to learn from.

Why industrial data

Production floors don't repeat themselves.
Industrial data has to reflect that.

  • 01

    Repetitive precision

    Sorting, packing and stitching involve fine, repeated hand movements that vary subtly session to session.

  • 02

    Mixed machine and hand work

    People work alongside conveyors, looms and machines: the handoff between human and machine action is part of the data.

  • 03

    Craft and industrial side by side

    Handloom and garment work sit next to factory-line packing in the same environment category, capturing both traditional and modern production.

How it works

From real-world task
to structured data.

  1. 01

    Define

    We agree the tasks, environments, modalities and scale with your team.

  2. 02

    Collect

    Trained participants record real work in real places, to a written protocol.

  3. 03

    Synchronize

    Visual and motion signals are aligned to one timeline for every session.

  4. 04

    Review

    Sessions are checked against the brief before they move any further.

  5. 05

    Deliver

    Structured, documented data lands in your storage in the format you train on.

Get in touch

Tell us what your
model needs to learn.

Tell us the task, environment, modalities and scale. We'll design the collection around your requirements.

Start a paid pilot
Talk to us