AI Stack
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San Francisco based AI company founded in 2024 by researchers from Google DeepMind, Stanford, and UC Berkeley. Develops foundation models for universal robot control, including the pi zero generalist policy.
Physical Intelligence (π) is a San Francisco-based artificial intelligence company developing general-purpose foundation models for robots. Founded in 2024 by leading researchers from Google DeepMind, Stanford University, UC Berkeley, and other prominent AI institutions, the company focuses on creating universal AI systems that allow robots to learn and perform a wide range of physical tasks across different hardware platforms. Its foundation models are designed to generalize across manipulation tasks such as folding laundry, assembling objects, and handling unfamiliar items with human-like dexterity. Rather than building robots itself, Physical Intelligence develops the software layer that enables embodied AI, allowing diverse robotic platforms to acquire new skills through large-scale training and multimodal learning.
Platform maturity, autonomy stack, and flagship-system specifications in one view.
Capabilities and model layers highlighted by the company.

Ultra Raises $50 Million to Scale AI-Powered Warehouse Robots
Brooklyn-based robotics startup Ultra has raised $50 million in Series A financing as it expands the deployment of AI-powered robots across US warehouses.

The Robotico 50: Women in Humanoid Robotics & Embodied AI 2026
An independent editorial selection recognising women working across humanoid robotics and embodied AI.

Feather Crosses $1 Million in Revenue With Modular Humanoid Platform
Feather Robotics has surpassed $1 million in revenue from its modular robotics platform, with customer systems already operating in restaurants in Japan and science laboratories, according to new figures disclosed by the company to TechCrunch.

Axis Robotics Open-Sources 50,000-Trajectory Dataset for Robot Learning
Axis Robotics has released Axis Sim Dataset V1, an open-source dataset containing more than 50,000 human-teleoperated robot trajectories across 207 manipulation tasks.

FieldAI: The Universal Robot Brain That Doesn't Build Robots
Born in the trenches of DARPA's hardest autonomy challenges and NASA JPL's Mars programs, FieldAI has crossed the $2B mark in 18 months without shipping a single robot. It wants to be the operating intelligence for every machine in motion.

Who Owns The Brains And Minds Of Humanoid Robotics
How next generation chips and foundation models will quietly decide which humanoids win.

Top Humanoid Robotics Companies To Watch In 2026
The companies defining the control stack and the humanoid hardware that will anchor the next decade of automation.

Why Home Robots Won't Scale Until Physical Data Does
Home robots will not reach mass adoption until embodied AI can learn from enough real world data to work reliably in everyday homes.

$405M in Two Rounds: The Investment Thesis Behind FieldAI's $2B Unicorn Status
In eighteen months, FieldAI went from stealth to unicorn without shipping a robot. The cap table reads like a conviction vote on a very specific thesis: in robotics, the brain is worth more than the body.

Physics First: Why FieldAI's Foundation Models Break the VLA Playbook
Physical Intelligence retrofits vision-language models. Skild AI scales imitation learning. FieldAI took a third road, one that starts from the physics of being wrong, and treats risk as a first-class citizen of the model.
Track Physical Intelligence's valuation over time.
Physical Intelligence was founded in early 2024 by CEO Karol Hausman (former Google DeepMind), Sergey Levine (UC Berkeley), Chelsea Finn (Stanford), Lachy Groom (former Stripe), Adnan Esmail, Brian Ichter, and Quan Vuong.
Its initial $400 million round at $2 billion valuation was led by Jeff Bezos, Lux Capital, and Thrive Capital, with backing from Khosla Ventures, OpenAI, Sequoia, and Redpoint.
In October 2024, Physical Intelligence released π0, a foundation model demonstrating unprecedented generalist capabilities, robots folding laundry, peeling vegetables, and assembling boxes.
By November 2025, a $600 million Series B led by Alphabet's CapitalG brought total funding past $1 billion at $5.6 billion valuation. The company prioritizes fundamental research over near-term revenue, betting that a single general-purpose model can eventually control any physically-actuated device.
Physical Intelligence (π) is a San Francisco-based startup building general-purpose foundation models for robots, enabling them to perform complex tasks like folding laundry, assembling boxes, and manipulating objects with human-like dexterity. Co-founded in 2024 by leading researchers from Google DeepMind, Stanford, and UC Berkeley, the company has raised over $1 billion at a $5.6 billion valuation.