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Physical Intelligence

Develops the pi-zero family of foundation models that let many different robot bodies learn new physical tasks from demonstration.

Physical Intelligence

Physical Intelligence, styled as pi or Pi, is a San Francisco robotics-AI lab founded in 2024 by a group of researchers and engineers from Google DeepMind, Stanford, and UC Berkeley, including Karol Hausman, Sergey Levine, Chelsea Finn, and Brian Ichter. Rather than building its own robot hardware, Pi focuses on foundation models meant to run across many different robot bodies, arms, mobile manipulators, humanoids, the same way a large language model runs across many text tasks. Its flagship line is pi-zero and its successor pi-zero-point-five, vision-language-action models trained on broad demonstration data that output low-level motor commands directly rather than symbolic plans. Public demos have shown a single pi-zero policy folding laundry, bussing tables, assembling boxes, and bagging groceries across different hardware, an unusually broad range for one policy in this field. Pi open-sourced both models through its openpi repository, a move that stood out in a sector where most frontier models stay closed. The company has raised roughly $1.1 billion across seed, Series A, and Series B rounds, reaching a valuation near $5.6 billion, with backers including OpenAI, Thrive Capital, Lux Capital, and Jeff Bezos.

Founded
2024
Headquarters
San Francisco, United States
Sector
lab

Tools

  • openpi

    Open-source robotics models and packages for running, fine-tuning, and serving vision-language-action policies.

  • π0.5

    π0.5 is a vision-language-action model for controlling mobile manipulators in unfamiliar homes and other environments.

Official website