Physicalintelligence
Physical Intelligence is building the future where AI-powered robots seamlessly integrate into our daily lives.
CORE INFO
Physical Intelligence develops AI models that empower robots to perform diverse tasks across industries like healthcare, logistics, and manufacturing, without needing task-specific programming.
- Physical Intelligence raised $1.05 billion in a Series C funding round, led by Founders Fund, reaching a valuation of $11.19 billion.forgeglobal.com
- Bloomberg reported on Physical Intelligence's $600 million Series B funding round, highlighting its valuation at $5.6 billion.bloomberg.com
WHY WE WOULD WORK AT PHYSICAL INTELLIGENCE
Innovative AI Technology
Join a team pioneering vision-language-action models like the π0 series, enabling robots to perform diverse tasks without specific programming.
Mission-Driven Culture
Contribute to a mission that emphasizes collaboration between humans and robots, unlocking physical abundance across industries like healthcare and logistics.
Strong Financial Backing
Be part of a rapidly growing startup valued at over $11 billion, backed by top investors like Founders Fund and Jeff Bezos.
Learning and Growth Opportunities
Work alongside leading experts in robotics and AI, including researchers from Google DeepMind and Stanford, fostering an environment of continuous learning.
Open Source Contributions
Engage in impactful work by contributing to open-source projects, enhancing the accessibility and adaptability of AI-powered robotics.
Dynamic Team Environment
Join a diverse team of approximately 273 employees in San Francisco, where innovation and collaboration drive the development of cutting-edge robotics solutions.
MARKET AND TRACTION
TOTAL ADDRESSABLE MARKET
GROWTH TACTICS
KEY METRICS
✦ KEY METRICMARKET POSITION
COMPETITIVE ADVANTAGE
PRODUCT AND TECH
π0 Series Models
The π0 series includes a range of vision-language-action (VLA) foundation models designed to enhance robot capabilities, enabling them to perform diverse tasks without task-specific programming.
Multi-Scale Embodied Memory
This technology allows for real-time action chunking, improving the efficiency and adaptability of robots in dynamic environments by enabling them to recall and utilize past experiences.
Reinforcement Learning Tokens
RLT is a method that enhances model learning through reinforcement learning, allowing robots to learn from their interactions with the environment and improve their performance over time.
Open-Sourced Robot Policies
Physical Intelligence contributes to the robotics community by releasing open-sourced models and training code, facilitating broader adoption and customization of their AI-driven robot policies.
Generalist Robot Policy
The π0 model serves as an open-sourced generalist robot policy, providing a versatile framework for controlling various types of robots across multiple applications.