Field Foundation Models™

Bringing certainty to uncertain environments.

Field Foundation Models combine two worlds that rarely meet.
The result is a new class of model that is safe by design and adds real customer value today.
Architecture before data
Physical AI is a much harder problem than digital AI, and data scaling alone is not enough. FieldAI takes an architecture-first approach that places data-driven models into an overall structure where they can be useful.

Belief World Model

Safe, reliable, and interpretable

Robots that know what they don't know.

A first-of-its-kind Belief World Model builds physics-based reasoning and uncertainty quantification into the architecture. When there's uncertainty about an obstacle or hazard, it adapts by slowing down, rerouting, or gathering more information. The system stops hallucinations before they become actions, and behavior can be explained, audited, and improved.

A 4-legged, wheeled robot in motion

Edge Intelligence

Data and compute efficient

Orders of magnitude less data and compute.

The physics and uncertainty awareness that makes the architecture safer also make it more efficient. The system learns from far less training data than mainstream approaches and starts delivering value sooner. The complete autonomy stack runs on the robot in real time, with no external compute or cloud connectivity required.

A 4-legged, wheeled robot in motion

Operational AI

Value-adding missions

From individual skills to complete missions.

Local skills like locomotion and manipulation are only one part of a customer solution. Operational AI chains them into complete tasks and long-horizon missions that stay resilient when unexpected events occur and integrate into customer workflows. Missions are the building blocks that translate autonomy into customer value.

A 4-legged, wheeled robot in motion
The most generalizable model
One universal "brain" enables robots of all shapes and sizes to perform a widening range of tasks in unstructured environments they have never seen before.
A humanoid robot in a construction site

Multi-robot.

Radically different form factors ensure the right tool for every job.

A humanoid robot in a construction site

Multi-task.

An expanding mission catalog spans the full spectrum of physical work.

A humanoid robot in a construction site

Multi-environment.

No prior maps, pre-planned routes, or environmental modifications required.

A humanoid robot in a construction site

Multi-agent.

Fleets of diverse robot types work together toward a common mission.

One intelligence, three layers
A robot in the field has to master stability and local skills, carry out long-horizon missions, and work alongside other robots. FieldAI builds models for each layer that together form one universal “brain.”

Physical AI

A table device showing the operating software

Dynamics Foundation Models™

Stability and local skills for any robot body.

Dynamics Foundation Models handle balance, locomotion, and manipulation. It is the one layer specific to the form factor, so new robot types are integrated without rebuilding higher level intelligence.

Operational AI

A table device showing the operating software

Field Foundation Models™

Risk-aware missions that add value to customer workflows.

Field Foundation Models bring risk awareness, memory, and reasoning into decision-making. Robots complete long-horizon missions that integrate into existing customer workflows.

Multiagent AI

A table device showing the operating software

Multiagent Foundation Models™

Fleets of different robots working toward one mission.

Multiagent Foundation Models™ coordinate fleets of heterogeneous robots working together. Given a high-level mission, the system divides the work based on the capabilities of each platform.

DARPA meets DeepMind

FieldAI brings together a unique combination of field robotics and foundation model expertise. Neither worldview alone would have produced the novel architecture of Field Foundation Models.

Field robotics pioneers from DARPA and NASA JPL bring decades of experience deploying autonomy in the harshest environments on Earth and beyond.

Foundation model researchers from institutions like Google DeepMind bring deep expertise in large-scale AI and decision-making under uncertainty.

A 4-legged, wheeled robot in motion