Field AI

FieldAI documents DPR using autonomous robots to capture data-center construction progress, reporting 45,000-plus photos, over 100 miles traversed, four floors mapped and 500,000 square feet of interiors scanned during one deployment phase.

FieldAI reports production deployments across three continents and multiple industries, with strategic deployments and partnerships involving Caterpillar, Boston Dynamics, NVIDIA and other industrial customers.

FieldAI reports production deployments across three continents and multiple industries, with strategic deployments and partnerships involving Caterpillar, Boston Dynamics, NVIDIA and other industrial customers.

FieldAI's March 2026 technical blog describes a real-to-simulation pipeline using NuRec to reconstruct operational sensor data, Isaac Lab for parallel reinforcement learning, Isaac Sim for software-in-the-loop validation and OSMO to automate ingestion and reconstruction.

FieldAI develops hardware-agnostic Field Foundation Models using a risk-aware Belief World Model to operate across different robots, tasks and uncertain real-world environments.

FieldAI develops hardware-agnostic Field Foundation Models using a risk-aware Belief World Model to operate across different robots, tasks and uncertain real-world environments.

FieldAI announced on August 20, 2025 that it had raised $405 million in two consecutive rounds, with investors including Bezos Expeditions, Canaan Partners, Khosla Ventures, NVentures and Temasek.

FieldAI has active deployments across industrial, construction, security, manufacturing and infrastructure environments worldwide, including collaborations with Caterpillar, Boston Dynamics and NVIDIA.

FieldAI has active deployments across industrial, construction, security, manufacturing and infrastructure environments worldwide, including collaborations with Caterpillar, Boston Dynamics and NVIDIA.

FieldAI describes a Belief World Model as a predictive engine for risk-aware reasoning under uncertainty and unexpected events. This specific uncertainty-modeling design adds transferable robust-autonomy experience beyond existing general world-model and deployment breadth.

FieldAI work spans world models, autonomy, industrial robotics, simulation, deployment and hardware-agnostic robot intelligence across many machine types and environments.

FieldAI work spans world models, autonomy, industrial robotics, simulation, deployment and hardware-agnostic robot intelligence across many machine types and environments.