Data annotation · Robotics

High-quality egocentric video data for physical AI, robotics & imitation learning

We capture first-person, head-mounted video and deliver robotics-grade annotations at scale—so your models learn from real human demonstrations, not synthetic guesswork.

Egocentric captureHand-object interactionWarehouse tasksManipulation
Egocentric capture

10,000 Hr+

Video captured per day

98%+

Labeling accuracy

24/7

Active pipeline

About

A physical-AI data engine

We combine a trained, distributed workforce with a rigorous annotation pipeline to produce model-ready egocentric datasets—collected safely, labeled precisely, and delivered on schedule.

Why companies choose us

A powerful egocentric video engine

Speed

A managed pipeline that scales to thousands of hours of footage per day.

Quality

High-resolution egocentric video with consistent capture standards.

Scale

A distributed workforce covering diverse environments and tasks.

Accuracy

Multi-layer QA delivers precise, model-ready annotations.

Security

Secure handling, consent, and privacy controls across the pipeline.

Precision

Frame-accurate labels tuned for robotics and imitation learning.

What we do

Capture & annotate

Egocentric data collection for robotics

Head-mounted, first-person video captured across real environments and workflows.

Household tasksOffice workflowsFactory operationsTools & mechanical tasks

Expert annotation & labeling

Robotics-grade labeling from trained annotators with strict quality checks.

Hand-object interactionStep sequencingAction segmentationObject trackingPose / dextrous keypointsNatural-language captionsMulti-camera syncSafety-critical labeling

How it works

From task to model-ready data

  1. Step 1

    Define tasks

    We scope the tasks, environments, and quality parameters with you.

  2. Step 2

    Recruit workers

    We source and train the right workforce for your capture needs.

  3. Step 3

    Capture egocentric videos

    First-person footage recorded across real, varied conditions.

  4. Step 4

    Annotate with precision

    Frame-accurate labeling with robotics-grade QA.

  5. Step 5

    Deliver in any format

    Model-ready datasets exported to your preferred schema.

Why egocentric data matters

Robots learn best from human POV

First-person demonstrations capture the intent, timing, and dexterity that third-person video misses—giving foundation models the grounding they need to act in the real world.

Real human hand trajectories

Object manipulation in tight spaces

Step-by-step task understanding

Natural variations in speed, lighting & clutter

The foundation for capable, real-world robotics.

Robotics use cases

Teach robots real-world tasks

Household automation

Household automation

  • Cooking & cleaning tasks
  • Fetch & place
  • Appliance operation
  • Tidying & sorting
Office & enterprise

Office & enterprise

  • Document handling
  • Restocking supplies
  • Assisted workflows
  • Desk operations
Industrial & manufacturing

Industrial & manufacturing

  • Assembly steps
  • Tool handling
  • Quality inspection
  • Material movement
R&D / AI labs

R&D / AI labs

  • Benchmark datasets
  • Imitation learning
  • Manipulation research
  • Custom task suites

Sample data

A snapshot of captured tasks

High-resolution egocentric clips across diverse, real-world manipulation tasks.

Household

Fruit cutting

Precise hand + knife interaction frames.

Industrial

Chip soldering

Fine-motor manipulation in tight space.

Industrial

Welding

Tool handling with safety context.

Household

Watch cleaning

Delicate multi-step object handling.

Household

Toy sorting

Pick, classify, and place sequences.

Office

Document filing

Grasp, move, and organize actions.

Industrial

Assembly

Ordered step sequencing with parts.

Lab

Benchmark task

Repeatable manipulation for training.

300K+ clips processed daily with 98%+ annotation accuracy.

Who we serve

Powering the next generation of robotics & AI

Robotics companiesAI labsAutonomous systems teamsIndustrial automationConsumer roboticsResearch institutionsHumanoid developersImitation learning teamsManipulation model teamsReinforcement learning teamsEmbodied AI teams

Supercharge your robotics models with human POV data

Get a sample dataset and a tailored plan for your capture and annotation needs.

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