Company directory
Palo Alto, US
1X stands out because it is combining humanoid hardware, home deployment ambitions, and a growing in-house AI stack instead of treating robotics as hardware alone.
Salem, US
Agility Robotics is among the most commercially advanced humanoid companies, with operating deployments, fleet software, and contracted orders.
Paris, France
AMI launched in 2026 with a distributed team operating from Paris, New York, Montreal, and Singapore and a focus on controllable world-model intelligence.
Costa Mesa, US
Anduril matters because it is one of the clearest real-world AI deployment companies, pairing autonomy software with vertically integrated defense hardware.
Austin, US
Apptronik is a leading U.S. humanoid company combining robot hardware, data collection, AI training, manufacturing partners, and customer deployments.
Berkeley, US
BAIR is one of the most influential academic AI labs in the world, especially in robotics, multimodal learning, and agent research that often flows into startups and commercial labs.
Waltham, US
Boston Dynamics belongs on the map because physical AI is not only a startup story; it already has durable industrial deployment leaders.
Tel Aviv, Israel
Buildots matters because it applies AI to a high-friction industrial workflow where visual monitoring and schedule variance directly affect project outcomes.
Irvine, US
Field AI focuses on the autonomy layer rather than a single robot body, which makes its software relevant across multiple industrial form factors.
Sunnyvale, US
Figure is one of the clearest attempts to merge humanoid hardware, embodied models, and industrial deployment into one vertically integrated robotics company.
London, UK
Generalist AI is a focused embodied-intelligence lab pursuing scaling laws and general-purpose models for physical skill learning.
London, UK
Google DeepMind combines world-class research depth with mass distribution through Google products, making it one of the most consequential labs for frontier multimodal systems, scientific AI, and robotics.
San Francisco, US
Gritt applies physical AI to outdoor construction, using adaptable robotic attachments on familiar jobsite equipment rather than requiring contractors to replace their fleets.
Dubai, AE
LEAP 71 belongs on the map if physical AI includes the upstream design stack for real-world machines, not just robots and autonomy systems.
Palo Alto, US
Luma AI is moving from standout video generation into a broader creative-agent strategy, combining multimodal research with products for image, video, audio, and production workflows.
Paris, France
Mistral AI sits at an important intersection of frontier research, enterprise adoption, and European strategic positioning in AI.
Metzingen, Germany
NEURA Robotics is a significant European robotics platform attempting to unify perception, safety, and cognitive capabilities across multiple robot forms.
Santa Clara, US
Nvidia belongs on the map as more than a chip company because it increasingly ships the reference stack for model serving, robotics, and enterprise AI deployment.
Palo Alto, US
Odyssey stands apart from conventional text-to-video labs by treating generated media as an interactive world that responds to user actions.
San Francisco, US
Physical Intelligence is one of the clearest examples of frontier model thinking moving into robotics, with a thesis centered on transferable skills across hardware.
Shenzhen, China
Pudu brings a large installed base of commercial robots to the physical-AI race, giving its model program real-world deployment data.
Milpitas, US
RoboForce is an emerging physical-AI company connecting its own robot hardware with general-purpose embodied intelligence.
Vancouver, Canada
Sanctuary AI pairs a long-running humanoid program with a broader strategy to deploy its physical intelligence on existing industrial robot hardware.
San Diego, US
Shield AI is one of the clearest examples of real-world AI deployment in defense autonomy, pairing hardware systems with its Hivemind autonomy stack.
San Jose, US
SiMa.ai sits at the intersection of edge AI hardware and physical AI deployment, which makes it more relevant than generic accelerator startups for real-world autonomous systems.
Pittsburgh, US
Skild AI is chasing a shared robot-brain thesis, arguing that one adaptable model layer can generalize across many physical embodiments and deployment environments.
Austin, US
Tesla is a major physical-AI company because it combines real-world fleet data, large-scale training, custom inference hardware, autonomy, and humanoid robotics.
Hangzhou, China
Unitree is important because it combines aggressive product cadence, broad visibility, and real retail availability in legged and humanoid robotics.
Toronto, Canada
Waabi stands out because it combines frontier AI talent with a simulation-first autonomy strategy aimed squarely at commercial trucking.
Mountain View, US
Waymo is the clearest example that physical AI already has real deployment at scale, not just prototypes and demos.
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