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Egocentric data collection · Construction

Real-world data from active sites.

We collect egocentric video, hand interaction and motion data from real construction work (cutting, fixing and material handling) for teams building Physical AI and robotics.

Tools, protective gear and site conditions captured in frame, as they actually appear.

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Proof of value

Real hours,
delivered.

Across the environments we work in (construction 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

Site tasks, tools
and material handling.

Cutting and grinding, handling steel reinforcement, working at height, and moving heavy material across rough ground.

Both hands guiding an angle grinder across a block on a building site.
Handling lengths of steel reinforcement on site.
Gloved hands working a rope tie at height.
Moving a steel beam across rough ground.

Sessions include the tool grip, two-handed coordination and site-condition judgment involved in each task, not a demonstration in a clean lab setting.

Why site data

Construction sites don't repeat themselves.
Site data has to reflect that.

  • 01

    Tools in the loop

    Power tools, rigging and reinforcement material are part of nearly every task: the data reflects hand-tool interaction, not hands alone.

  • 02

    Uneven, changing sites

    Ground conditions, materials and site layout shift from one session to the next.

  • 03

    Load and coordination

    Moving and positioning heavy material takes two-handed coordination and body positioning that's hard to simulate.

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