A new robotics startup wants factory workers, not programmers, to teach its robots

A useful factory robot should learn from the person doing the work, the way a new colleague would. That is the pitch Reimagine Robotics is making as it exits stealth today, backed by ex-Google DeepMind veteran Jonathan Scholz, three co-founders, and a pre-seed round.

Founded in April 2025 and dual-headquartered in London and Sydney, the company says its platform runs on a "monkey-see, monkey-do" loop: a worker demonstrates a task, the robot attempts it, the worker corrects on the spot. CEO Scholz, who led DeepMind's Applied Robotics team in London for seven years, frames the result as augmentation. "I think of it more as a tool to amplify human labor," he told Robot Report.

The company says deployments are already live in advanced manufacturing and electronics disassembly, per its launch announcement. A named reference is a made-to-order plastics shop that taught a robot to tend 3D printers (removing print beds, operating latches, pressing controls) and handle downstream wash, cure, and dry, according to coverage syndicated by Robotics Tomorrow. Pre-seed funding came from Fly Ventures, firstminute capital, and unnamed angels; the amount is undisclosed.

The configuration question hangs over the launch. Reimagine's pitch moves the training seat from the systems integrator to the floor worker. The test is whether the new seat still needs a specialist, just one called "operator" instead of "engineer." Two sites is not a sample.