Technology Snapshot
A concise view of platform maturity and deployment footprint.

One Autonomy for All Robots, redefining general robot intelligence with risk aware Field Foundation Models.
Founded in 2023 by Ali Agha, FieldAI grew out of over a decade of robotics research at NASA's Jet Propulsion Laboratory and programs like DARPA SubT and DARPA RACER. The team achieved landmark results including the first fully autonomous multi kilometer exploration with a quadrupedal robot, before commercializing their technology for industrial use.
FieldAI is building the first risk-aware foundation models for robots. Its Field Foundation Models (FFMs) combine a Dynamics Foundation Model (DFM) with a Multiagent Foundation Model (MFM) to let any robot, quadruped, wheeled, humanoid, aerial, navigate dynamic, unmapped environments without GPS or human intervention, with safety awareness baked in.
Platform maturity, autonomy stack, and flagship-system specifications in one view.
A concise view of platform maturity and deployment footprint.
Capabilities and model layers highlighted by the company.
Boston Dynamics and FieldAI announce a strategic partnership to bring Field Foundation Models to Spot, Stretch, and the new electric Atlas, targeting construction and other dynamic environments. Early results cite a 90% reduction in inspection time.

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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.

Boston Dynamics Connects FieldAI to Spot and Atlas
Boston Dynamics has owned every layer of its stack for twenty years. On March 12, 2026, it quietly admitted the autonomy race is moving faster than any vertical integrator can keep up, and handed FieldAI the keys to Spot's brain.

$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.

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.
Follow FieldAI's valuation growth through its funding rounds.
FieldAI builds a universal autonomy brain, Field Foundation Models, that lets any mobile robot operate in unstructured, unmapped environments without GPS, pre-built maps, or pre-programmed paths. Founded in 2023 by former NASA JPL robotics lead Ali Agha, the company reached a $2B valuation in August 2025 after raising $405M in two oversubscribed rounds led by Bezos Expeditions, Prysm Capital, and Temasek, with NVentures, Khosla Ventures, Intel Capital, and Samsung NEXT participating.
At NASA Jet Propulsion Laboratory, Ali Agha leads a team developing autonomous navigation for planetary lava tubes, laying the technical foundation for what will become FieldAI.
Agha's Team CoSTAR competes in the DARPA Subterranean Challenge and wins the Urban Circuit in 2020, demonstrating multi-kilometer autonomous exploration in GPS-denied environments.
Ali Agha founds FieldAI in Irvine, California. Early hires come from NASA JPL, DARPA, DeepMind, Google, Tesla, and Carnegie Mellon.
FieldAI announces $405M raised across two consecutive oversubscribed rounds, reaching a $2B valuation. Investors include Bezos Expeditions, Gates Frontier, NVentures (NVIDIA), Temasek, Samsung NEXT, Intel Capital, Khosla Ventures, Prysm Capital, Canaan Partners, Emerson Collective, and BHP Ventures.
FieldAI and DPR Construction disclose a deployment on active job sites, with autonomous progress scanning, site analytics, and multi-robot coordination, all running on-device.
Boston Dynamics and FieldAI announce a strategic partnership to bring Field Foundation Models to Spot, Stretch, and the new electric Atlas, targeting construction and other dynamic environments. Early results cite a 90% reduction in inspection time.