FieldAI Raises $405 Million to Power the Next Era of Embodied AI

FieldAI, a pioneer in embodied artificial intelligence, has raised $405 million in consecutive funding rounds, cementing its place at the forefront of robotic autonomy. The raise attracted an elite roster of investors including Bezos Expeditions, Khosla Ventures, Temasek, NVIDIA’s NVentures, Intel Capital, Canaan Partners, and Prysm, alongside previous backers Gates Frontier and Samsung. The round was oversubscribed, reflecting both strong investor confidence and the company’s accelerating global momentum.

Embodied AI: Intelligence Beyond the Screen

While most AI breakthroughs to date have centered on text, vision, and speech, FieldAI is tackling the hardest frontier: the physical world. This is the essence of embodied AI, where intelligence is directly tied to machines that sense, move, and act in real environments. Unlike digital-only models, embodied AI must grapple with gravity, friction, unpredictable terrain, and real-time safety risks. It requires not only perception but also judgment—reasoning about uncertainty and making decisions that carry physical consequences.

FieldAI’s mission is to create a universal “autonomy brain” capable of running across robots of every shape and size. From quadrupeds traversing uneven worksites to humanoids performing manipulation tasks, FieldAI’s technology is designed to scale seamlessly across embodiments, industries, and geographies.

Field Foundation Models: A Physics-First Breakthrough

At the heart of FieldAI’s platform are Field Foundation Models (FFMs)—a new class of AI built from the ground up to handle risk and uncertainty in the physical world. Unlike retrofitted vision or language models, FFMs are physics-first and inherently risk-aware, enabling robots to make safe, reliable decisions even in environments they have never seen before.

These models integrate multiple layers of intelligence. The core FFMs provide risk-aware reasoning, while Dynamics Foundation Models govern locomotion and manipulation with precise control grounded in physics. Multiagent Foundation Models extend this further, coordinating multiple robots working together in dynamic settings. By training on unprecedented volumes of real-world data and operational hours, FieldAI has created a system that continuously evolves, adapting faster than traditional robotics approaches.

Another defining feature of FieldAI’s approach is edge-native deployment. Decisions are made on the robot itself, not in remote servers, ensuring real-time responsiveness even in environments without connectivity. This capability is critical for industries like mining, energy, and construction, where network reliability cannot be guaranteed.

Deployment Across Industries

FieldAI’s technology is already transforming operations across diverse sectors.

• Construction – Robots equipped with FFMs are navigating chaotic worksites, transporting materials, and assisting with heavy lifting and inspections.
• Energy and Mining – Embodied AI is allowing machines to enter hazardous areas underground or offshore, performing dangerous tasks that would put human workers at risk.
• Manufacturing – Robots are delivering flexible automation in factories, complementing rigid assembly lines with adaptable systems that can handle variable workflows.
• Urban Delivery and Inspection – From last-mile logistics to infrastructure monitoring, FieldAI-powered machines are operating reliably in cities and urban environments.

These deployments demonstrate the universality of FieldAI’s platform: one core intelligence driving many forms of robots, across industries with radically different challenges.

A Team Forged in Real-World Robotics

FieldAI is led by veterans of some of the most ambitious projects in robotics and AI. Its team includes alumni from DeepMind, Google Brain, Tesla Autopilot, NASA JPL, SpaceX, Zoox, Cruise, Amazon, DARPA, and Toyota Research Institute. CEO Ali Agha, who previously led NASA JPL’s CoSTAR team to victory in the DARPA Subterranean Challenge, has built FieldAI with a philosophy rooted in practical deployment. The company’s very name reflects this ethos: solving for the field, not just the lab.

What This Means for the Future

FieldAI’s achievement is more than a milestone in robotics—it is a turning point in the broader trajectory of artificial intelligence. For the first time, machines are developing the ability to understand and interact with the world in human-like ways, adapting fluidly to context rather than following rigid scripts.

This unlocks the possibility of a universal autonomy layer for the physical world, much like operating systems unified computing. Imagine a future where every form of machine—humanoids, quadrupeds, drones, vehicles—shares a common cognitive framework. This would accelerate deployment at a pace far faster than the fragmented, single-purpose robotics of the past.

The societal implications are profound. Robots capable of reliable, risk-aware autonomy can take on dangerous work in mines, energy sites, or disaster zones, dramatically improving human safety. They can step into labor gaps across industries facing shortages, from construction to logistics. They can enhance productivity in ways that free people to focus on creativity, strategy, and human connection rather than repetitive or hazardous tasks.

In a deeper sense, FieldAI’s work points toward the next stage in the evolution of intelligence itself. Just as large language models transformed our relationship with information, embodied AI has the potential to transform our relationship with the physical world. It brings us closer to a reality where artificial intelligence is not just a tool of the mind but a partner in action—a collaborator that shares our environments, adapts to our needs, and helps us extend human capability into new frontiers.

FieldAI's $405 million raise signals more than investor confidence. It signals the dawn of an era where AI is no longer bound to data centers and screens but embedded in the very fabric of daily life. The age of embodied intelligence has arrived, and with it comes the possibility of reshaping industries, societies, and perhaps even our understanding of what it means to be human.