
1. Technology overview
Field AI, Inc. (FieldAI) is a California company (Irvine/Mission Viejo) whose team comes from NASA JPL, DeepMind, Tesla, NVIDIA and Amazon and from programmes such as the DARPA SubT Challenge. It builds general-purpose robot intelligence for unstructured settings such as construction sites, energy plants, mines and urban operations, where traditionally programmed robots fail.
Its Field Foundation Models combine data-driven AI with physics-based reasoning and uncertainty quantification. The stack has three layers: Dynamics Foundation Models for balance, locomotion and manipulation on any robot body; Field Foundation Models for risk-aware, long-horizon missions without prior maps or GPS; and Multiagent Foundation Models so fleets of different robot types work toward one mission. Deployments span hundreds of sites on three continents, including Singapore and Tokyo.
2. Highlighted features & specifications
- Dynamics Foundation Models: balance, locomotion and manipulation for any robot body.
- Field Foundation Models: risk-aware reasoning and memory for long-horizon missions.
- Multiagent Foundation Models: coordinate fleets of diverse robot types on a common mission.
- Map-free autonomy: works without GPS, prior maps or environmental modifications.
- Construction progress tracking: documents as-built progress on changing job sites.
- Industry solutions: construction, industrial and energy, mining, power utilities and urban operations.
3. Potential application
- A Vietnamese general contractor tracking as-built progress on high-rise or industrial projects with legged robots.
- A power utility running autonomous inspections at substations and plants.
- A mining or cement company deploying robots in GPS-denied areas.
4. Benefits
- Robots operate in sites never seen before, with no prior maps, pre-planned routes or site modifications.
- One autonomy stack across quadrupeds, wheeled and other robot types avoids rebuilding software per form factor.
- Risk-aware decision-making supports safe work around people.
- Robots capture site data as a by-product of missions, cutting manual documentation effort.
5. Market trends & opportunities
Physical AI is moving robots from structured warehouses into construction, energy and infrastructure sites, where labor shortages and safety risks are high. Southeast Asia's large infrastructure, industrial park and energy projects, including in Vietnam, create demand for autonomous inspection and progress monitoring that works without site preparation.
6. Other information
Field AI, Inc. lists 361 Madero, Mission Viejo, California in its terms; press releases are datelined Irvine, CA. Team includes veterans of NASA JPL, DeepMind, Tesla, NVIDIA and Amazon. Partnerships with Boston Dynamics, NVIDIA and Caterpillar; operates FieldAI Federal for government work.
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