Physical AI
Physical AI is the category of AI systems designed to perceive, reason about, and act in the physical world rather than purely digital environments. The defining property is embodied interaction: a physical AI system has sensors that read the real world, actuators or vehicles that change it, and a decision layer that connects them. Robotaxis, humanoid robots, autonomous delivery vehicles, and embodied research platforms all fall under physical AI. Enterprise language models, coding agents, and chat assistants do not.
The distinction matters because investment, regulatory framing, and capability comparisons routinely conflate the two. A company building an enterprise LLM and a company building a humanoid robot are both labeled "AI companies" in casual coverage, but they face different scaling laws, regulatory risks, and customer types. DEPLOY's registry covers the physical AI category specifically.
Canonical reference: registry.deploy.report/glossary#physical-ai ↗
Used in 9 Deploy signals
- Tesla unveils Cybercab and Robovan at "We, Robot"; on-site Optimus units later confirmed teleoperated
- Software becoming the biggest bottleneck to physical AI innovation, finds QNX research
- NVIDIA Research Advances Robotics From Simulation to the Real World
- Mistral Signs with Airbus and BMW as it Expands Into Physical AI
- This startup is betting India’s gig economy can train the world’s robots
- Sortera uses physical AI to double capacity in a Tennessee sorting facility
- The future of physical AI isn’t humanoid; it’s task-specific and cost-efficient
- How VCs and founders use inflated ‘ARR’ to crown AI startups
- The Startups Building on Nvidia Compute
Relevant DEPLOY coverage
By topic: embodied aiai infrastructurehumanoids