Partnership vision Robot integrations are proposed development work.

A robot in your world. Control in your hands.

Humanoid robots will earn a place in everyday life when people can understand their actions, set boundaries, and take over. We want to build that independent layer with the teams making them.

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For humanoid makers, operators, and the people sharing their spaces.

AI-generated concept of a humanoid robot and a researcher in a supervised home lab — AI-generated concept art made with fal.ai. Proposed use case, not a product demonstration.

Help people feel ready to welcome a robot.

For an enterprise, trust means knowing who is responsible for each action. At home, it means knowing what a robot can see, where it may go, and how to ask it to stop. Our aim is to make those answers visible.

Understand the action

Connect an operator request to the robot’s intended task, approvals, and reported result. Make the handover from an AI decision to physical action understandable.
Agree on the boundaries

Explore permissions for spaces, tasks, cameras, and remote assistance. Show who approved access and when it should expire.
Give people a way to intervene

Design an operator pause or handover through the maker’s supported interfaces, with clear confirmation of what the robot actually did.

Human intervention, designed for the machine.

A humanoid must keep its balance when asked to stop.

A walking robot may need to balance, secure an object, or move into a stable pose. The manufacturer defines the safe response. A pilot would distinguish a requested pause from a confirmed state, preserve local emergency stops, and require an authorized decision before resuming.

ClawMetry is not a safety-rated emergency-stop system. Robot support would need manufacturer integration and validation for the specific use case.

An open layer, built with robot makers.

Our proposal is a shared way to describe tasks, permissions, approvals, and outcomes across manufacturers. Operators could get an independent view while each robot keeps its own local control and safety systems.

Read the founding story and watch the vision video

Proposed responsibilities

People and operating rules

Intent, permissions, and approval

ClawMetry observation and governance

Activity evidence and authorized requests

Manufacturer’s robot controller

Motion, local safety, and confirmed state

Local emergency stops and safety systems stay independent of the observer and cloud.

Begin with one workflow.

Start in a supervised lab with one task, such as carrying an empty tray between two marked locations. Reconstruct the task, review permissions, and agree with the manufacturer how pause and handover should work before testing any control.

Before we start

Can I connect my home robot today?

These pages describe our partnership vision. Humanoid robot support is proposed development work with manufacturers. We are looking for a supervised pilot before making compatibility or household-readiness claims.

Why involve a third party?

Manufacturers know their machines best. Our thesis is that an open observation layer can help customers compare evidence, understand permissions, and keep a consistent operator experience across vendors. We want to test that value with partners, while keeping safety responsibilities explicit.

Let’s make safe AI together.

We would love to visit your lab, meet the people building the robot, and see where clearer control could help a future enterprise or household customer.