Automating the finest work in manufacturing.

Robots with the touch and pace of your best workers, deployed on your line.

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Fifty million people assemble electronics, cars, and appliances by hand, and those hands are getting harder to find every year.

We build the intelligence that turns skilled hand work into robot skills, and opens a new chapter for automation.

Our team’s background

  • ETH Zurich
  • Robotic Systems Lab, ETH Zurich
  • European Space Agency
  • Mercedes-Benz
  • Roche
  • ByteDance Seed
  • Agile Robots
  • INSAIT
  • EPFL
  • Computer Vision and Geometry Lab, ETH Zurich
  • Microsoft

Where we help.

Assembly

Snapping, screwing, and plugging small parts into place, step after step.

Disassembly

Taking products apart for repair and recycling, whatever condition they arrive in.

Handling

Parts of every shape, from flexible cables to fragile components.

Your task

The job on the line nobody has managed to automate yet.

How we keep every line running.

  1. A worker in April Gloves fits terminal blocks onto a rail while a camera records the task.

    Fig. 1Capture the skill

    The people who know the task best wear our gloves during their normal shifts, or our own team learns the task and records it for them. Production keeps running while their motion, touch, and pace become training data.

  2. The same hands turned into a point cloud over the terminal blocks.

    Fig. 2Train the AI model

    Our model learns the task itself, how it looks and how it feels. When a part shifts or changes slightly, the robot adjusts the way a person would.

  3. The robot hand seats a terminal block on its rail.

    Fig. 3Deploy on your line

    Our model is not tied to one robot. Each station gets the best arms and hands available today, and better ones as they arrive.

Our own glove, built and proven on real factory floors.

Two hands wearing the April Glove with wrist tracking modules drive a screw into a black housing with a precision screwdriver.

Motion capture

IMUs on every finger let us track each joint of the hand in 3D.

Tactile data

Conductive traces on the inside of the glove measure where the hand presses and how hard, across the palm and every fingertip.

Wrist camera

A camera on the wrist sees the part, the tool, and the grip for every task.

Let’s keep your line running.