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Bleu Robotics raises €5 million to scale humanoid robot software

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Bleu Robotics raises €5 million to scale humanoid robot software

3 Key Points

  1. What happened

    Bleu Robotics raised a €5 million pre-seed round co-led by Contrarian Ventures and OVNI Capital, with participation from Kvanted, WEPA Ventures, Motier Ventures and Charlie Songhurst.

  2. Why it matters

    The funding is intended to grow the team and scale its software, which removes the need for large task-specific datasets and long training cycles, allowing manufacturers to deploy robots cost-effectively and at scale.

WHO IT HITSManufacturers in high-mix, low-volume production stand to benefit most, as Bleu's software is designed to let them deploy humanoid robots without large task-specific datasets or long training cycles, per the company.

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Context & Analysis

Bleu Robotics was founded in Paris in December 2025 by Benoît Berkoukchi, Jean-Baptiste Mouret and Serena Ivaldi. Berkoukchi spent years managing large teams on automotive assembly lines at Renault, while Mouret and Ivaldi are research directors at INRIA with 15 years as leading academics in AI and robotics. Their stated approach differs from most robotics companies, which Berkoukchi says are trying to train humanoids with millions of data points and build fully general-purpose models. He argues that approach is unsuited to manufacturing because there is not enough data on factory work. The company says its software can be plugged into any humanoid platform, and with each deployment the model benefits from real-world data that makes it more reliable and faster to roll out. Thomas Poitrineau, investor at Contrarian Ventures, said the firm was attracted to Bleu's choice to rethink how humanoid robotics software should work from first principles and called the team rare in combining two world-class robotics researchers with a manufacturing expert. The International Federation of Robotics counted 5 million industrial robots operating globally in 2025, but those machines are built to repeat fixed tasks and cannot adapt to the high-mix, low-volume production now common in modern manufacturing, so that work still falls to human workers.

FAQ
How does Bleu Robotics' software differ from other humanoid robot approaches?
Instead of training fully general-purpose models on millions of data points, Bleu uses an abductive learning model that learns a new task from as few as ten operator demonstrations.
What accuracy does Bleu Robotics claim for its model?
Bleu says its model keeps the explainability required for industrial safety and the 99%+ accuracy that production lines demand.
How can manufacturers teach tasks to Bleu's software?
Operators teach it new tasks directly at the workstation using Bleu's training devices, handheld grippers that remove the need for coding, and can retrain the same robot as production needs change or move it to another site.
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