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What is Physical AI?

Physical AI is artificial intelligence that perceives and measures the physical world, rather than working only with text or digital data. It begins with perception. Cameras and sensors capture a real-world scene, the system abstracts what it sees into a structured model, and it produces measurements or decisions that influence physical operations. This is consistent with how standards bodies define an AI system: a machine that infers, from the input it receives, outputs such as predictions that influence real environments (OECD, 2023).

The category frame is recent but consistent across the field. NVIDIA frames physical AI as AI that can "perceive, reason, plan, and act" in the real world (CES 2025). Investors describe the same shift more plainly: physical AI cannot exist without eyes, because machines that act in the physical world have to see it first (LDV Capital). Perception is the foundational layer.

Physical AI is distinct from generative AI. Generative systems create content from a prompt. Physical AI starts from the world itself, turning what a camera sees into verified, structured data. Neither is more advanced than the other. They solve different problems.

Where EveryPoint fits

EveryPoint® is a Physical AI company. Since 2011 we have built computer vision and machine learning that teach software to see and measure the physical world from ordinary imagery, computed on-device and in real time at the edge. Our models draw on a data repository built since 2012: hundreds of thousands of distinct stockpiles, measured more than 5 million times, representing more than 14 billion tons of material measured. The work is protected by 13 granted patents.

Our Stockpile Reports® solution applies this to bulk materials, turning a phone, drone, or camera image into verified volume and tonnage. Through its MCP, Stockpile Reports is now a node that AI assistants can call directly for a trusted measurement.

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Last updated: July 2026.