Physical Intelligence Stock
| Valuation | $11.19B1 |
| Valuation Date | May 21, 2026 |
| Implied Valuation | $15.71B |
| Last Price | $446.40 |
| 52-Week High | $446.40 |
| 52-Week Low | $124.26 |
| YTD Return | +61.44% |
| 1-Year Return | +239.31% |
| 3-Year Return | n/a |
| Total Funding | $2.12B1 |
| Latest Round Amount | $1.05B1 |
| Latest Round | Series C |
| Funding Rounds | 4 |
| IPO Status | Unknown |
| Expected IPO Date | n/a |
| Revenue | n/a |
| Revenue Type | n/a |
| P/S Ratio | n/a |
About Physical Intelligence
Physical Intelligence is an artificial intelligence company that builds general-purpose foundation models for robots. It does not make robots itself. Instead it trains vision-language-action models, released as the π (pi) series, that take a plain-language instruction and turn it into the motor commands a physical machine needs to carry out a task. Its models are trained on data collected from robot arms and mobile manipulators in kitchens, laundromats, warehouses and homes, and the company's pitch is that one generalist model can control many different robot platforms rather than each machine needing its own bespoke software. The first model, π0, was released in October 2024 and open-sourced in February 2025, and later versions have added reinforcement learning from real-world experience, long-horizon memory and the ability to follow instructions for tasks never seen in training. Physical Intelligence does not sell a commercial product yet and has said it has no timeline for commercialization, so it has no revenue. It funds its research entirely from venture capital and works with a small number of robotics companies, including Weave in laundry folding and Ultra in warehouse order packaging, to test the models in live deployments. The company was co-founded by UC Berkeley professor Sergey Levine, Stanford professor Chelsea Finn, former Google DeepMind researchers Karol Hausman and Brian Ichter and early Stripe employee turned investor Lachy Groom.
Invest in Physical Intelligence
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News
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Physical Intelligence unveils π0.7 steerable robotic foundation model
Physical Intelligence released π0.7, a steerable generalist robotic foundation model that shows compositional generalization and can perform tasks it was never explicitly trained on, including cross-e...
π0.7: a Steerable Model with Emergent Capabilities
Physical Intelligence released π0.7, which it describes as a step change in generalization. The company reports the model following language commands and performing tasks absent from its training data...
Physical Intelligence is reportedly in talks to raise $1B, again
Bloomberg reported the company was in discussions to raise about $1 billion at a valuation above $11 billion, roughly double the $5.6 billion set four months earlier. Founders Fund was set to particip...
Physical Intelligence enables precise manipulation with efficient online RL
Physical Intelligence introduced a method to extract an RL token from VLA models for fast online reinforcement learning, improving throughput on precise manipulation tasks with only a few hours of dat...
Precise Manipulation with Efficient Online RL
The company described extracting an RL Token from its vision-language-action models to enable fast online reinforcement learning. It reports improved throughput on precise tasks from only a few hours ...
Physical Intelligence adds multi-scale memory to vision-language-action models
Physical Intelligence's Multi-Scale Embodied Memory gives its VLA models both long-term and short-term memory, enabling complex robotic tasks lasting more than ten minutes.
VLAs with Long and Short-Term Memory
Physical Intelligence introduced Multi-Scale Embodied Memory, which gives its models both long-term and short-term memory. The company says it enables tasks that run longer than ten minutes.
The Physical Intelligence Layer
The company set out its case for a reusable physical intelligence layer that other developers can build robotics applications on. The post includes first-hand results from partners Weave, which folds ...
A peek inside Physical Intelligence, the startup building Silicon Valley's buzziest robot brains
TechCrunch visited the company's San Francisco office and reported that it had about 80 employees, had raised more than $1 billion and gives investors no timeline for commercialization. Co-founder Lac...
Moravec's Paradox and the Robot Olympics
Physical Intelligence set its models a series of difficult manipulation challenges and reported solving them by fine-tuning its latest policy. The post uses the results to argue that tasks humans find...
Robotics Startup Physical Intelligence Valued at $5.6 Billion in New Funding
Physical Intelligence raised $600 million at a $5.6 billion post-money valuation in a round led by Alphabet's growth fund CapitalG. Existing investors Lux Capital, Thrive Capital and Jeff Bezos took p...
Jeff Bezos-backed Physical Intelligence raises $600M to improve its AI robot brains
The report covers the company's $600 million Series B and its plan to use the money for more data collection, partnerships and hiring. It notes the round more than doubled the $2.4 billion valuation s...
π*0.6: a VLA that Learns from Experience
The company introduced a method for training its generalist policies with reinforcement learning drawn from real-world experience, improving both success rate and throughput on physical tasks. It mark...
π0.5: a VLA with Open-World Generalization
Physical Intelligence released π0.5, an updated generalist policy that extends π0 to environments it has never seen. The company demonstrated it controlling a mobile manipulator to clean up an entirel...
Teaching Robots to Listen and Think Harder
The company described a method that lets robots work through complex tasks step by step while incorporating human-in-the-loop feedback. It pairs a high-level reasoning layer with the low-level policy ...
Open Sourcing π0
Physical Intelligence released the weights and code for π0 along with a new autoregressive variant, π0-FAST. The open release made π0 one of the most widely used robot foundation models in academic ro...
FAST: Efficient Robot Action Tokenization
The company published a new robot action tokenizer that it says allows generalist policies to be trained five times faster than previous models. FAST was later released alongside the open-source π0 we...
Jeff Bezos and OpenAI invest in robot startup Physical Intelligence at $2.4 billion valuation
Physical Intelligence, a robot startup based in San Francisco, has raised $400 million at a $2.4 billion post-money valuation, the company confirmed Monday to CNBC. Investors included Amazon founder J...
π0: Our First Generalist Policy
Physical Intelligence introduced π0, its first general-purpose robot foundation model, combining large-scale multi-task and multi-robot data collection with a new network architecture. The company sho...
Physical Intelligence Is Building AI for Robots, Backed by OpenAI
Physical Intelligence emerged from stealth with $70 million in seed funding led by Thrive Capital, with OpenAI, Sequoia Capital, Lux Capital and Khosla Ventures also investing. In the company's first ...