THE PROBLEM

The last mile of manipulation

01

Open datasets lack dexterous data

Public corpora are full of locomotion and grasping, but almost none capture fine, contact-rich finger manipulation.

02

In-house teleop is slow and costly

Standing up a teleoperation farm burns months and millions before a single useful clip is recorded.

03

Without it, manipulation stalls

Models plateau on real-world dexterity because the long tail of human hand motion is simply not in the data.

HOW IT WORKS

From first-person human hands to training-ready data

Step 1

Capture

A global network of trained capturers records first-person, egocentric data of dexterous, contact-rich motion with phones and motion sensors.

Step 2

Edit

We clean, segment, label, and format the data for robotics training pipelines.

Step 3

Deliver

You get high-volume manipulation datasets, ready for your manipulation models.

FOR ROBOTICS TEAMS

Get egocentric data for dexterous manipulation

Tell us what your model needs. We'll put together a representative sample so you can evaluate fit before you scale.

  • Volume on demand

    Scale from thousands to millions of clips without standing up your own ops.

  • Contact-rich & dexterous

    Fine finger manipulation and tool use, not just grasps and pick-and-place.

  • Edited & training-ready

    Cleaned, segmented, and labeled to drop straight into your pipeline.

  • Custom task collection

    Commission specific manipulations tailored to your model roadmap.

Request a data sample