What Is Field AI?
Field AI is a robotics-intelligence company founded in 2023 and based in Irvine, California. Rather than building its own robot hardware, Field AI builds the 'brain' that runs on other companies' robots — quadrupeds, wheeled platforms, drones, and eventually humanoids — so they can operate safely in real-world, unstructured environments.
The company was founded by Ali Agha, whose team includes veterans from DeepMind, Google Brain, Tesla Autopilot, NASA JPL, SpaceX, Zoox, Cruise, Amazon, and DARPA. That mix of space-robotics and self-driving backgrounds shows up directly in the product: Field AI's core claim is that robots can navigate hazardous, changing sites without maps, GPS, or predefined trajectories.
Field AI sits in the same "give a robot a general-purpose brain" category we cover in our embodied AI explainer — it is one of the clearest commercial examples of that idea shipping today.
Field Foundation Models (FFMs), Explained
Field AI's flagship product is the Field Foundation Model (FFM), a class of what the company calls 'physics-first' foundation models built specifically for embodied robots rather than adapted from vision or language models. FFMs are trained to reason about risk, physical constraints, and uncertainty in the moment, instead of relying on a pre-mapped route.
The stack runs through a component Field AI calls EDGE, which executes FFMs locally on the robot's own payload. That local execution gives sub-100-millisecond response latency and lets the robot keep operating fully offline in GPS-denied or connectivity-limited settings, such as underground mines or dense urban infrastructure.
Because the models are embodiment-agnostic, the same underlying FFM can, in principle, be adapted across different robot bodies — a quadruped, a wheeled inspection rover, or a humanoid — rather than requiring a separate model per platform.
- Physics-first foundation models, not a retrofitted vision or language model.
- Runs on-device (EDGE) for sub-100ms latency and offline operation.
- No pre-built maps, no GPS, no predefined trajectories required.
- Designed to generalize across robot embodiments, not just one hardware line.
Funding And Valuation
Field AI has raised approximately $405 million across its funding rounds, pushing its valuation to roughly $2 billion as of the 2025 raise. Backers include Bill Gates (Gates Frontier), Jeff Bezos (Bezos Expeditions), and NVIDIA's venture arm NVentures, alongside Khosla Ventures, Intel Capital, Canaan Partners, Prysm Capital, Temasek, BHP Ventures, Emerson Collective, and Samsung.
That backer list is notable for who is missing from the humanoid-hardware race: Field AI has deliberately stayed out of building its own robot bodies, instead positioning itself as the autonomy layer that hardware makers plug into — closer to an operating system than a finished robot.
What Robots Run Field AI's Software?
The clearest public deployment is Field AI's partnership with Boston Dynamics, announced to bring FFM-based autonomy to Boston Dynamics' Spot quadruped. The companies say the partnership is expanding Spot's third-party fleet at construction sites across Asia, Europe, and North America, with reported reductions of up to 90 percent in inspection and documentation time compared with manual walkthroughs.
Field AI has also launched a separate Field AI Federal effort aimed at government and defense customers, reflecting demand for autonomy that works in denied or contested environments where GPS cannot be trusted.
Target industries beyond construction include energy, manufacturing, urban delivery, and security — sectors where sending a person into a hazardous or hard-to-reach area is the alternative to sending a robot.
Is Field AI A Humanoid Robot Company?
No — this is the most common confusion. Field AI does not currently sell a robot you can buy; it licenses autonomy software that runs on robots built by other companies. If you are comparing physical humanoid platforms rather than the software that could eventually drive them, see our roundup of humanoid robots compared.
If you want to try a similar 'teach a robot to act' concept hands-on at a hobbyist scale, our LeRobot how-to guide covers the open-source equivalent for makers, though it is a very different scale of project from Field AI's enterprise-grade FFMs.
Bottom Line
Field AI is not a robot maker — it is the software layer trying to become the default 'brain' for robots that must work in places without maps or GPS. With roughly $405 million raised, a $2 billion valuation, and a live deployment on Boston Dynamics' Spot fleet, it is one of the best-funded bets that the hard part of robotics is autonomy software, not hardware.
Read our embodied AI explainer for the broader concept behind Field AI's approach, or compare the physical robots this kind of software could eventually run in our humanoid robot comparison.
FAQs
What is Field AI?
Field AI is an Irvine, California robotics-intelligence startup that builds Field Foundation Models (FFMs), software that lets robots navigate unstructured, GPS-denied environments without pre-built maps.
What is a Field Foundation Model (FFM)?
An FFM is Field AI's term for a 'physics-first' foundation model built specifically for robots. It reasons about risk and physical constraints in real time instead of relying on a pre-mapped route or GPS.
How much funding has Field AI raised, and what is it worth?
Field AI has raised approximately $405 million, reaching a valuation of roughly $2 billion. Backers include Bill Gates, Jeff Bezos, and NVIDIA's venture arm, NVentures.
Does Field AI make its own robots?
No. Field AI builds autonomy software that runs on robots made by other companies, most notably Boston Dynamics' Spot quadruped, rather than selling its own hardware.
Can you buy a Field AI robot?
There is no consumer robot to buy. Field AI sells its autonomy software to enterprise and government customers who deploy it on partner hardware like Boston Dynamics' Spot.