Physical AI for Industry

Every skill becomes a tool.

MSMD Robotics is building physical AI that learns real work from the people who do it, and takes robots out of the lab and into industry.

Base
Zurich, Switzerland
Field
Physical AI
Status
Building

Thesis

The work is real. The robots should be too.

  1. 01

    Every industry runs on skilled hands.

  2. 02

    Skilled hands are getting harder to find.

  3. 03

    Robots can learn the work by watching it done well.

  4. 04

    We make that happen outside the lab.

MSMD Robotics47.3933° N, 8.5119° E

The next industrial revolution is already learning.

Platform

From human skill to machine capability.

We capture real work one task at a time and turn each task into a robot skill: reliable, reusable and simple to use. Together they become a growing toolbox, run from one platform.

  1. 01

    Capture.

    People do the task. We record how it's really done.

  2. 02

    Learn.

    Each task becomes a skill, trained and tested until it holds up.

  3. 03

    Chain.

    Skills link up into whole jobs, on whichever robot fits.

Human demonstrations Learned policy Robot

Principles

How we think about machines.

01

Learned, not programmed.

A robot should pick up a task the way people do: by seeing it done well, not by being told every move.

02

Made for the real world.

Not for demos. For variation, noise, wear and long shifts, where reliability is the only thing that counts.

03

Agnostic by design.

Robots and models get better every year. We build to work with whichever comes out ahead.

Supported by

In good company.

Careers

Join the founding team.

We're looking for a few exceptional engineers to build physical AI from the ground up.

Contact

Investing, partnering or joining? Let's talk.