Startup Looks to Develop Physical Artificial Intelligence, Raises $400M

$400 million investment brings Bezos, OpenAI-backed Physical Intelligence's valuation to $2.8 billion

Liz Hughes, Editor, IoT World Today and AI Business

November 7, 2024

1 Min Read

San Francisco-based AI-powered robotics startup Physical Intelligence announced this week it has raised $400 million in funding bringing its valuation to $2.8 billion.

Major investors include Amazon’s Jeff Bezos, OpenAI, Thrive Capital, Khosla Ventures, Lux Capital, Sequoia Capital and Bond Capital.

The startup aims to bring general-purpose AI into the physical world by developing foundation models and learning algorithms to power robots and other physically actuated devices, now and in the future.

Physical Intelligence has developed a general-purpose foundation model called π0 (pi-zero), which the company said is the first step toward its long-term goal of developing artificial physical intelligence. This would allow users to simply ask a robot to perform any task they want, just like they ask large language models and chatbot assistants. 

“Like LLMs, our model is trained on broad and diverse data and can follow various text instructions,” Physical Intelligence stated in a blog post. “Unlike LLMs, it spans images, text and actions and acquires physical intelligence by training on embodied experience from robots, learning to directly output low-level motor commands via a novel architecture. 

“It can control a variety of different robots and can either be prompted to carry out the desired task or fine-tuned to specialize it to challenging application scenarios.”

Those findings were released in a paper last week exploring the potential of robot learning to enhance flexible, general-purpose and dexterous robotic systems, aiming to address key challenges such as data, generalization and robustness. 

The company is looking at a novel approach using “robot foundation models” to overcome these obstacles and tested its architecture by having robots do various tasks including folding laundry, cleaning tables and assembling boxes.

This article first appeared in AI Business' sister publication IoT World Today.

About the Author

Liz Hughes

Editor, IoT World Today and AI Business

Liz Hughes is an award-winning digital media editor with more than three decades of experience in newspaper, magazine and online media industries. 

A proven digital media strategist and editor, Liz has produced content and offered editorial support and leadership for a variety of web publications, including Fast Company, NBC Boston, Street Fight, QuinStreet, WTWH Media, AOL/Patch Media and Design News.

A skilled social media strategist experienced in developing and maintaining an audience across multiple platforms and brands, Liz also enjoys sharing her knowledge and expertise to help businesses small and large.

Keep up with the ever-evolving AI landscape
Unlock exclusive AI content by subscribing to our newsletter!!

You May Also Like