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RoboticsRobotics & Automation NewsPublished: Aug 4, 2026, 22:00 JST

DeepMind veterans launch robotics startup with learn-from-workers AI

DeepMind veterans launch robotics startup with learn-from-workers AI

3 Key Points

  1. What happened

    Reimagine Robotics, founded by former Google DeepMind leaders including CEO Jonathan Scholz, emerged from stealth with robots that learn tasks directly from workers through demonstration and real-time correction—a process Scholz calls 'monkey-see, monkey-do.' The London and Sydney–based company, co-founded in April 2025, has already deployed robots in advanced manufacturing and electronics disassembly, and is now moving into a new fundraising phase.

  2. Why it matters

    The technology eliminates the need for specialist programmers when tasks or production processes change, letting factory workers themselves train robots on the job. This approach keeps workers central rather than replacing them, potentially opening robotics to smaller manufacturers who cannot afford custom programming. Early deployments show concrete productivity gains—Reimagine Robotics reduced prototyping time for new robot behaviors from roughly one day to around ten minutes, enabling faster workflow design.

  3. What to watch

    The company is entering a new fundraising round and planning to expand its team and deploy robots into more workplaces. It received pre-seed funding from venture capital firms Fly Ventures and firstminute capital, plus angel investors; the next phase will show whether each deployment makes subsequent ones faster and more reliable, as Scholz projects.

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Context & Analysis

Reimagine Robotics addresses a friction point in manufacturing: the high cost and time required to reprogram robots when workflows change. Traditional industrial robots require specialist engineers and weeks of setup; the company's approach lets production workers—who best understand the bottlenecks—train robots through live demonstration and correction. This model sidesteps not only the engineering bottleneck but also the organizational challenge of knowledge transfer, since the worker's understanding is encoded directly into the robot's behavior.

The early deployments reveal a second advantage: speed of iteration. By cutting prototyping time from approximately one day to around ten minutes, Reimagine Robotics has made robots useful as a real-time design tool, not just an execution tool. Teams can now experiment with robot-assisted workflows in the same conversation where they identify a problem. Scholz's framing—that robots should "arrive with the attitude of a new colleague"—reflects a philosophy that keeps humans in the design loop, which the company argues is both more practical and more acceptable to workers than full automation.

FAQ
When was Reimagine Robotics founded?
Reimagine Robotics was co-founded in April 2025 by Jonathan Scholz, Oleg Sushkov, Akhil Raju, and Misha Denil. The company is headquartered in London and Sydney.
How has the robot training process improved speed?
During deployment at a hard-drive disassembly facility, Reimagine Robotics reduced the time required to prototype and test a new robot behavior from approximately one day to around ten minutes, allowing teams to propose and test new robot uses almost immediately.
What types of tasks have the robots been trained to do so far?
The robots have been deployed to tend 3D printers overnight (removing print beds, operating latches, pressing controls), and to recover valuable materials from used hard drives as part of a three-robot disassembly cell. At the plastics business, the customer's own team used the platform to automate additional stages including washing, curing, and drying.
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