Egocentric data collection

Real-world data for Physical AI.

We collect real-world human activity and transform it into structured data for robotics, Physical AI, computer vision and multimodal AI.

From everyday tasks to industrial workflows, we capture the physical interactions that machines need to learn.

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Proof of value

Real hours,
delivered.

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.

Services

Data collection
built around your model.

Every robotics program has different data requirements. We adapt collection around the task, environment, participants, modalities and delivery requirements of each project.

  • Custom collection

    Purpose-built real-world data collection for specific tasks and environments.

  • Multimodal capture

    Combine egocentric visual data with motion and other required signals.

  • Annotation & structuring

    Organize recordings with task, action, session and other required metadata or annotations.

  • Data validation

    Review collected data for completeness, consistency and usability.

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.

Why real-world data

AI can learn from the internet.
Robots have to learn from the real world.

Physical tasks cannot be fully learned from text and images alone. Robots need examples of people interacting with objects, tools and environments, across different tasks, conditions and ways of working.

  • 01

    Real environments

    Capture how tasks actually happen across homes, workplaces, farms, factories and changing physical environments.

  • 02

    Real human action

    Observe how people move, reach, grasp, manipulate and interact with objects while completing tasks.

  • 03

    Real-world variation

    Different people, objects, environments and workflows create the variation models need to generalize.

Environments

Real-world
environments.

Data captured where physical work actually happens.

01

Agriculture & outdoor work

Field and garden work under changing daylight, uneven ground and unstructured surroundings.

Explore agriculture data →

Picking marigold and chrysanthemum blooms into a crate, seen from the picker's own viewpoint.
Two hands stripping leaves from a stem in a field.
Walking through tall grass, looking down at the ground ahead.
Standing over uneven stone ground at an outdoor work site.

02

Manufacturing & industrial work

Sorting, packing, machine tending, weaving and stitching across working production floors.

Explore manufacturing data →

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.

04

Homes & everyday work

Cooking, washing and preparing food. The ordinary manual tasks that fill a working home.

Explore home data →

Rolling and cutting dough on a board, both hands in frame.
Washing steel vessels in a basin of water.
Cooking at a stove, stirring a pan of vegetables.
Rinsing utensils at an outdoor washing area.

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.

Talk to us