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What is
Physical AI?

Physical AI is intelligence that perceives, reasons, and acts in the real world. Instead of learning from text and images online, it learns from the physical signals all around us — sensor data, video, and language — to understand how machines, environments, and people actually behave.

WHY IT MATTERS

The biggest problems are physical, not digital

Most AI understands the digital world of text and images. But the hardest problems — safety, reliability, and efficiency across factories, infrastructure, and cities — live in the physical world. Billions of sensors already stream data about it, and most of that data goes unused.

WHY IT MATTERS

How Physical AI is different

Build and deploy Physical AI agents that turn real-world data into actionable insights. Maximum output from every machine, vehicle, and system — all from one platform.

Digital world and LLMs

Trained on 80% of text, 10% image and <5% video

4 modalities: text, video, images and audio.

Each modality treated individually.

Real world

50% physical sensor data, 20% video, <5% text

Hundreds of sensor modalities can be critical for every use case.

Requires fusion of multiple sensor modalities and data streams.

The biggest problems are physical, not digital

Most AI understands the digital world of text and images. But the hardest problems — safety, reliability, and efficiency across factories, infrastructure, and cities — live in the physical world. Billions of sensors already stream data about it, and most of that data goes unused.

BenchmarkS

From understanding to action

Physical AI powers Physical Agents — real-time applications that interpret the physical world and act on it.

Intelligence moves off the screen and into machines, infrastructure, and environments themselves: monitoring equipment, catching anomalies early, verifying tasks, and improving safety.

Go deeper

See the world model behind Physical AI