Field AI Raised Over $400 Million to Advance Embodied AI at Scale
- Menlo Times

- Aug 21
- 2 min read

Field AI, developer of industrial robots, led by Ali Agha, Shayegan Omidshafiei, David D. Fan, Eric Krotkov, Duncan M., and Sebastian Scherer, has raised $405 million in two consecutive rounds from Bezos Expeditions, BHP Ventures, Canaan Partners, Emerson Collective, Intel Capital, Khosla Ventures, NVentures (NVIDIA’s venture capital arm), Prysm, Temasek, and others.
The oversubscribed round follows the rapid adoption and expansion of FieldAI’s robotics intelligence, tested across hundreds of complex industrial environments. FieldAI is leading the general-purpose robotics revolution with a universal software brain powering diverse robots across complex environments worldwide—from Japan to the U.S.—in industries like construction, energy, manufacturing, and urban delivery.
FieldAI’s edge-deployed systems make real-time autonomous decisions, seamlessly integrating into customer workflows. With unmatched data, rapid model evolution, and scalable value, demand is surging as industries seek automation to tackle labor, safety, and efficiency challenges.
The new capital will fuel FieldAI’s global growth, advance product development in locomotion and manipulation, and support strategic hiring as it aims to double headcount by year-end.
At the heart of FieldAI’s platform are Field Foundation Models (FFMs)—physics-first models purpose-built for robotics. Unlike retrofitted vision or language models, FFMs handle uncertainty and physical constraints, enabling safe, reliable autonomy in unstructured, dynamic environments without maps or GPS.
FieldAI’s breakthrough architecture enables FFMs to adapt safely to unexpected conditions without reprogramming, powering reliable autonomy across quadrupeds, humanoids, wheeled robots, and even vehicles. Their hardware-agnostic design drives faster, scalable deployment across form factors.
FieldAI is led by top robotics AI veterans from DeepMind, Tesla, NASA, SpaceX, and more—blending deep research with real-world deployment. From Mars rovers to mines and factories, the team has delivered breakthrough autonomy at scale, true to its name and mission.



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