Bleu Robotics raises EUR 5 million to cut humanoid training to 20 minutes a task
Paris-based Bleu Robotics raised EUR 5 million in pre-seed funding to teach industrial humanoids new tasks from operator demos.
Paris software startup Bleu Robotics has raised EUR 5 million in a pre-seed round, betting that the hardest problem in industrial humanoids is not the machine but the time it takes to teach it a job. The round was co-led by Contrarian Ventures and OVNI Capital, with Kvanted, WEPA Ventures, Motier Ventures, and angel investor Charlie Songhurst joining. The company plans to use the money to expand its research and robotics teams and to bring its first industrial robot-learning models to market.
Bleu builds software, not robots. Its platform is designed to run on any humanoid platform, learning new industrial tasks from demonstrations by human operators rather than from large task-specific datasets or long training runs, using what the company calls abductive learning, alongside specialized training devices. The pitch is speed: a humanoid that can be put to work on a factory line in under an hour, with about 20 minutes of training per task, against integration projects that today stretch for months.
That claim is the part to watch, because it is still a pitch, not a proven factory result. The company has disclosed no customers, deployment counts, or measured success rates for tasks learned this way, and fast learning in a demonstration is a different test from repeatable work across shifts, parts, and factory layouts. What the round does prove is narrower: early-stage investors are willing to fund the software layer separately from the hardware race, on the theory that whoever shortens deployment time will decide which humanoids actually get used.
The company was founded by Benoît Berkoukchi, Jean-Baptiste Mouret, and Serena Ivaldi. The round lands as European investors step up bets on industrial humanoids, and it is small by humanoid standards, which makes its syndicate the more interesting signal: a pre-seed round of this size does not normally draw five funds plus a notable angel unless the deployment problem it targets is seen as a real bottleneck. For Bleu, the next milestone is not another round but evidence: a named factory deployment where a robot learned a real task in the promised time and kept doing it.