FieldAI, a leader in robotic autonomy, has raised $405 million across two oversubscribed funding rounds, pulling in heavyweight backers including Bezos Expeditions, NVIDIA’s NVentures, Intel Capital, Temasek, Khosla Ventures, Canaan Partners, and BHP Ventures. Previous investors Gates Frontier and Samsung also participated.
The new capital will fuel FieldAI’s global expansion, product development in locomotion and manipulation, and a hiring surge—the company plans to double headcount by year’s end. The funding follows rapid adoption, multiple expansion contracts, and deployments spanning hundreds of complex, real-world industrial environments.
A “Software Brain” for Any Robot
FieldAI is pursuing the holy grail of robotics: a general-purpose software brain capable of powering multiple robot types across industries and geographies. Customers in construction, energy, manufacturing, delivery, and inspection are already using FieldAI’s robots in daily operations across Japan, Europe, and the U.S.
The company claims its systems run autonomously at the edge, making decisions in real time while integrating seamlessly into enterprise workflows. By logging unprecedented operational hours and accelerating model iteration, FieldAI says it can deliver cost-effective autonomy at scale—addressing labor shortages, safety concerns, and efficiency goals.
Field Foundation Models: Physics-First AI for Robotics
At the heart of FieldAI’s platform are its Field Foundation Models (FFMs), designed specifically for embodied intelligence. Unlike large language or vision models retrofitted for robotics, FFMs are physics-first, built to handle uncertainty, risk, and real-world constraints.
That design enables robots to navigate unstructured environments without maps, GPS, or predefined paths, adapting safely to new conditions without retraining or reprogramming. FFMs have already been deployed across quadrupeds, humanoids, wheeled robots, and even passenger-scale vehicles.
“Rather than shoehorning LLMs and vision models into robotics and patching over hallucinations, we’ve designed risk-aware architectures from the ground up,” said Ali Agha, Founder and CEO of FieldAI. “With Field Foundation Models, robotic operations can scale seamlessly across diverse environments.”
Investor Confidence in Risk-Aware Autonomy
Vinod Khosla, founder of Khosla Ventures, called autonomy at scale “an extremely difficult problem,” but praised FieldAI’s pragmatic approach: “FieldAI is at the forefront of the general-purpose robotics revolution, and its ability to rapidly deploy will unlock long-term economic and societal value.”
Jay Park, Co-Founder of Prysm Capital, highlighted the models’ adaptability: “FieldAI’s new class of foundation models offers the reliability and adaptability required for deployment at scale across numerous sectors.”
Veteran Team, Global Vision
FieldAI’s leadership team draws from DeepMind, Google Brain, Tesla Autopilot, NASA JPL, SpaceX, Zoox, Cruise, Amazon, DARPA, and Toyota Research Institute. Collectively, they’ve contributed to Mars rovers, autonomous fleets, DARPA challenge wins, and frontier AI safety systems.
That ethos—solving for the field—is what inspired the company’s name. With its fresh capital, FieldAI is betting that physics-first robotics AI can push autonomy beyond labs and pilots into true industrial scale.
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