Paris Loves Robots — and Robots Love Paris

Paris is no longer just about culture and cuisine – it’s rapidly emerging as one of Europe’s most influential robotics ecosystems. Powered by elite research institutions, a dense startup network, and unmatched public support for deep tech, the city has become a launchpad for companies building the future of physical AI, humanoids, automation, and intelligent machines.

Genesis AI

Genesis AI develops robotics foundation models designed to power generalist robots capable of learning multiple tasks. With $105M in funding, the company aims to create scalable physical intelligence, positioning itself at the intersection of embodied AI, large-scale learning, and real-world robotic deployment.

Stanley Robotics

Stanley Robotics builds robotic valet systems that autonomously move and park vehicles in airports, ports, and logistics hubs. Its solutions optimize space, reduce emissions, and cut operational costs, making large-scale vehicle handling safer and more efficient through automation.

UMA

UMA focuses on creating adaptable, general-purpose robots capable of handling diverse physical tasks. By combining mobility, manipulation, and AI-driven autonomy, the company targets industrial operations where flexibility and human-like interaction are critical.

LeRobot (Hugging Face)

LeRobot provides open-source datasets, models, and tooling to accelerate robot learning and experimentation. Closely linked with Pollen Robotics, it lowers barriers to entry for researchers and startups, enabling faster progress in embodied AI and collaborative robotics development.

Enchanted Tools

Known for its humanoid robot Mirokaï, Enchanted Tools focuses on service robotics with emotional design and social interaction. With ~$17M in seed funding, the company targets healthcare, hospitality, and retail environments where trust and human engagement matter.

Fuzzy Logic Robotics

Fuzzy Logic Robotics offers a platform that enables faster robot programming without deep robotics expertise. By reducing setup time and complexity, the company helps manufacturers deploy automation more flexibly, addressing a major adoption barrier in industrial robotics.

Inbolt

Inbolt’s real-time 3D vision technology enables robotic arms to adapt dynamically to moving parts. With ~$16–17M in Series A funding, the company supports high-precision manufacturing use cases, especially in automotive and advanced industrial assembly.

Heex Technologies

Heex builds “smart data” software that records only the most valuable edge data for AI training and monitoring. By reducing data overload, the company improves system performance and efficiency, particularly in robotics, autonomous systems, and industrial AI deployments.

Wandercraft

Wandercraft develops advanced robotic exoskeletons enabling upright mobility for rehabilitation patients. With $75M in total funding, the company combines biomechanics, AI, and robotics, while also investing in humanoid R&D for future assistive and industrial applications.

SoftBank Robotics (EMEA HQ)

SoftBank Robotics develops humanoid and service robots such as Pepper and NAO for education, retail, and customer engagement. Its Paris presence strengthens Europe’s service robotics ecosystem, blending human–robot interaction, AI, and large-scale deployment experience.

Galam Robotics

Galam Robotics develops modular automation robots that optimize warehouse storage and order fulfillment. With €10M in Series A funding, the company targets scalable logistics automation, helping operators increase throughput while adapting to rapidly changing inventory demands.

Exwayz

Exwayz provides 3D localization and SLAM software enabling robots to navigate complex environments without GPS. Its technology supports outdoor and industrial autonomy, particularly in areas where satellite positioning is unreliable or unavailable.

phospho

phospho offers software tools to deploy, train, and control AI models on physical robots. A Y Combinator W24 company, it focuses on simplifying robot intelligence integration, accelerating experimentation and real-world learning for robotics teams.