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Field AI

Category: Robotics / Embodied AI

Field AI provides an AI-powered software platform, the Field Foundation Model (FFM), that enables robots and autonomous vehicles to operate in complex, unstructured real-world environments. Field AI was founded in 2022. The company is led by Ali Agha. Based in Irvine, USA. Team size: 51-200. Total funding raised: $405M+. Latest round: Series A-1, $314.0M, 2025-08, led by Bezos Expeditions, Prysm, Temasek. Key investors include Nvidia, Bill Gates, Bezos Expeditions, Fika Ventures, Khosla Ventures, Temasek, BHP Ventures, Prysm.

Founded
2022
Headquarters
Irvine, USA
Team size
51-200
Total funding
$405M+

Value proposition

To enhance operational efficiency, safety, and productivity by enabling robots to perform complex tasks autonomously in unstructured settings, addressing labor shortages and safety risks.

Products and solutions

Field Foundation Models (FFMs): A universal AI software platform that acts as the 'brain' for various types of robots (legged, wheeled, flying, tracked).

Unique value

Field AI's core innovation is its 'physics-first' approach to AI, creating Field Foundation Models (FFMs) that are physically-grounded and uncertainty-aware. This allows for real-time, autonomous decision-making in unpredictable environments, unlike traditional AI models.

Target customer

Enterprises in industrial sectors requiring autonomous operations in challenging environments.

Industries served

Construction, Logistics, Public Safety, Mission-Critical Operations

Technology advantage

Their key advantage is a robot-agnostic software platform that can be integrated into various types of existing machinery. The technology is field-proven, stemming from the team's extensive experience and success in DARPA challenges and at NASA's Jet Propulsion Laboratory (JPL).

How they differentiate

Field AI differentiates itself through its hardware-agnostic software platform, the Field Foundation Model (FFM). This AI-powered system is designed to bring 'superhuman autonomy' to any machine, enabling robots to operate in complex, unstructured, and hazardous industrial environments. Unlike competitors who often develop both hardware and software, Field AI focuses on creating a universal, risk-aware AI brain that can be integrated into a wide range of robotic platforms.

Main competitors

Boston Dynamics, Unitree Robotics

Key partnerships

Strategic investment from Nvidia's venture capital arm suggests a potential deep collaboration., Demonstrations and collaborations with construction firms like Ryan Companies US, Inc., and Cullen Construction Management.

Notable customers

Notable customers and case studies are not publicly disclosed at this time.

Major milestones

Successfully raised over $405 million in two consecutive funding rounds, achieving a valuation of $2 billion in August 2025., Developed the Field Foundation Model (FFM), a proprietary AI platform for robotic autonomy., The founding team, led by CEO Ali Agha, won the DARPA Subterranean Challenge, demonstrating expertise in multi-robot coordination in extreme environments., Achieved the first fully autonomous multi-kilometer exploration with a quadrupedal robot., Demonstrated fully autonomous coordination of up to 11 heterogeneous robots (legged, wheeled, and drones).

Growth metrics

Specific growth metrics are not publicly available.

Market positioning

Field AI is positioned as a premium provider of advanced AI and autonomy for industrial robotics. The company targets heavy industries such as mining, construction, and public safety, where autonomous robots can perform dangerous and difficult tasks. Their focus on software and foundation models for 'physical AI' places them at the cutting edge of the robotics industry, aiming to be the universal intelligence layer for industrial machines.

Geographic focus

While specific geographic focus is not publicly detailed, Field AI is headquartered in Los Angeles, USA, suggesting an initial focus on the North American market. Given their key investors and the global nature of the industries they target, international expansion is likely a future goal.

Patents and IP

Information on specific patents is not publicly available.

About Ali Agha

Co-Founder and CEO of Field AI. Previously served as a Robotics Technologist and Group Leader at NASA's Jet Propulsion Laboratory (JPL), where he led the development of multi-robot autonomy and AI algorithms. He was the principal investigator for Team CoSTAR, which won the DARPA Subterranean Challenge.

Official website: