Google DeepMind Accelerator selects 15 robotics companies from across Europe to join the program. Providing 3 months of intensive mentorship and technical support, enabling the integration of AI into their core products.

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AI has the potential to help solve some of the world’s biggest challenges — not just in the digital realm, but in the physical world, too. Robotics is one of the most exciting frontiers of AI, where advances in language, vision and action models can help create intelligent machines that interact with the real world in safer, more helpful and more adaptive ways.

That’s why we’re launching the Google DeepMind Accelerator: Robotics, a three-month program for early-stage robotics startups across Europe. This week, the selected startup founders are coming together to kick off the program, meet the Google DeepMind and Google teams, and begin a journey designed to support the next generation of physical AI. They’ll have access to our AI stack, technical expertise and Gemini robotics models.

Selected from a strong pool of applicants, these startups will receive hands-on support from Google DeepMind and Google experts throughout the program. Through technical mentorship, product guidance and a wide network of partners, the accelerator will help founders turn cutting-edge AI research into real-world robotics applications. The cohort joining us in London this week reflects the breadth of opportunity in embodied AI — from logistics and manufacturing to healthcare, climate, and advanced navigation.

Meet the startups and founders shaping the future of robotics and embodied AI:

• 3D-Components AS (Norway): Developing RobTrack, an AI-driven platform that automates parameter selection and quality control for robotic welding and metal 3D-printing, 280X faster than current practices.
• Acumino (Greece): Develops hardware-agnostic Physical AI that enables robots to perform complex industrial tasks in a scalable, cost-efficient, reliable manner with high ROI.
• Adapta Robotics (Romania): Deploys physical AI replicating human touch to test devices and software for healthcare, automotive and consumer electronics, unlocking automated QA and supporting the circular economy.
• AUAR (Automated Architecture) (United Kingdom): Makes homebuilding more affordable by deploying robotic MicroFactories directly to construction sites.
• Bubble Robotics (France): Building the ocean's autonomous workforce: a vessel-free constellation of self-docking surface and subsea robots that see, hear, and act, feeding a live underwater world model.
• Danu Robotics (United Kingdom): Uses embodied AI robotic systems to automate complex waste sorting, increasing efficiency, improving safety, and enabling scalable recovery of valuable materials that supports the circular economy.
• Deltia GmbH (Germany): Digitizes production-line work, transforming workflows into process graphs that help teams optimize manual processes and automate repetitive tasks so people can focus where they matter most.
• Embodied AI (Switzerland): Deploys teleoperated humanoids that collect data during customer service to continuously train and improve their manipulation skills.
• Extend Robotics (United Kingdom): Provides teleoperation software and data pipelines that help train and fine-tune foundation models for real-world robotics applications.
• Forgis (Switzerland): Develops AI agents that understand machines like experienced engineers, predicting failures and optimizing operations.
• Generative Bionics (Italy): Amplifies human potential by developing humanoid robots based on physical AI, developed in Europe but built to scale globally.
• Qualia (Denmark): Building infrastructure that enables companies to turn robotic foundation models into working deployments, automating and optimising time-consuming manual labor.
• ROBEAUTE (France): Building microrobots that navigate through brain tissue to diagnose, treat and monitor neuropathology, establishing a new physical infrastructure layer in neurosurgery.
• Staer (Sweden): Uses computer vision on existing cameras and sensors to build 3D spatial models of facilities, giving robots a shared environment to navigate and operators real-time visibility into how their physical operations actually run.
• Touchlab (United Kingdom): Uses advanced nano inks to create an “e-skin” that gives robots a high-resolution sense of touch across flexible surfaces.

These startups reflect the growing momentum of robotics and intelligent systems across Europe. Each company will receive mentorship and strategic guidance from Google DeepMind and Google to help them accelerate development and scale responsibly.

Congratulations to this cohort! To learn more about the Google DeepMind Accelerator: Robotics, visit the official program page.