FieldAI, the robotics startup building what it calls a universal general-purpose brain for robots, is raising $700 million at a $10 billion valuation, according to a person familiar with the deal who spoke to Business Insider. The round would quintuple the company's valuation in just over a year and cement the Irvine, California-based firm's place among the most valuable players in the rapidly growing "physical AI" sector.
The company was previously valued at $2 billion, after raising over $400 million last year from investors including Jeff Bezos' family office, Laurene Powell Jobs' Emerson Collective, and Khosla Ventures. According to Business Insider, FieldAI has signed a term sheet for the new financing, meaning the deal may not have formally closed yet, and it is not clear which venture capital firm is leading the round. FieldAI did not respond to a request for comment. For more context on this story, see our ongoing AI trends.
A Fivefold Jump in Just Over a Year
The velocity of the revaluation is striking even by the standards of the current AI funding boom. Hyundai Motor's early bet on the company illustrates the trajectory: the Korean automaker's investment was followed by a valuation climb that Korean media outlet Chosunbiz reported this week had jumped fivefold to $10 billion.
FieldAI's previous round last year drew a marquee mix of backers — the family office of Amazon founder Jeff Bezos, Emerson Collective, and Khosla Ventures among them — and the new round suggests demand for robotics AI exposure has only intensified since.
One Brain for Every Kind of Robot
Founded in 2023, FieldAI is building what it describes as a "universal general-purpose brain" designed to work across robots, tasks, and environments. Its software can power machines ranging from humanoids and robot dogs to drones and industrial rovers, enabling them to operate autonomously in unpredictable environments.
That cross-platform ambition distinguishes FieldAI from robotics companies building intelligence for a single machine. The company is headquartered in Irvine, California, with a presence in the Bay Area, and has hired talent from Google DeepMind, Tesla, Nvidia, and Boston Dynamics. Its customers include construction firms, data center operators, and defense companies.
The valuation is a bet that FieldAI can make its robot brain work in tricky, real-world settings — a challenge that has long tripped up robotics companies and is far harder than training a machine to perform a single task in a controlled environment.
Revenue Is Growing Fast
Underpinning the price tag is rapid commercial traction. Since June, FieldAI has added at least $35 million in revenue and customer contracts, bringing the total to more than $135 million, according to the person familiar with the deal who spoke to Business Insider. That builds on a milestone Business Insider previously reported: FieldAI had surpassed $100 million in revenue and customer contracts across more than 30 customers.
"We have seen very, very fast growth in the last several months," CEO Ali Agha told Business Insider in June.
Revenue figures of that scale remain rare among robotics AI startups, many of which are still pre-revenue or dependent on pilot projects. If the numbers hold, FieldAI's $10 billion valuation would price it at roughly 74 times its reported revenue and contract backlog — expensive, but within the range investors have accepted for category-leading AI companies.
The Physical AI Money Race
The round is the latest example of investors pouring money into physical AI — AI systems that can act in the real world rather than only generate text and images. The funding brings FieldAI's valuation closer to its well-funded competitors, including Physical Intelligence, valued at roughly $11 billion, and Skild AI, valued at more than $14 billion, according to Business Insider.
The sector's momentum reflects a broader conviction that the next wave of AI value will come from embedding intelligence into machines that move, lift, build, and inspect — from factory floors and construction sites to data centers and defense installations. Robot brains sit at the center of that thesis: whoever builds the general-purpose software layer for autonomous machines could occupy a position in physical AI analogous to what foundation model providers hold in generative AI.
The comparison explains why investors are pricing young robotics firms at software multiples despite the industry's notoriously difficult economics. Robotics has burned capital for decades on hardware-heavy approaches that struggled to generalize, but the current generation of startups argues that modern AI has changed the equation. Rather than hand-coding behaviors for each machine and task, companies like FieldAI aim to ship a learning-based brain that adapts on its own — and software that works across many robots is a far more scalable business than software welded to a single platform.
The hiring patterns tell a similar story. FieldAI's roster of recruits from Google DeepMind, Tesla, Nvidia, and Boston Dynamics shows that the people building autonomy at the world's largest technology companies are increasingly being recruited by startups promising to commercialize it faster.
FieldAI's fivefold revaluation in about a year shows how quickly capital is converging on that bet. Whether the company can convert its valuation into durable market leadership will depend on the hardest problem in robotics: making machines that work reliably outside the lab, in a world that refuses to be a controlled environment.
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