FieldAI Reportedly Raising $700M at $10B Valuation

FieldAI has reportedly signed a term sheet to raise $700M at a $10B valuation, according to an October 2, 2026 report from Business Insider. The financing may not have formally closed, no lead investor or participants have been identified, and FieldAI did not comment to the publication.

The proposed financing would value the Irvine, California physical-AI company at 5 times the $2B post-money valuation reported after its 2025 raise. That jump reflects an unusually large investor wager on robot intelligence that can work across hardware, tasks and changing industrial environments rather than on one robot body.

What FieldAI is reportedly raising

Business Insider reported that FieldAI is raising $700M and has signed a term sheet for the financing. A term sheet establishes preliminary terms but is not the same as a completed closing, so the amount and $10B valuation should be treated as reported and proposed until FieldAI or the investors announce a finalized transaction.

The report did not identify the round series, lead investor, participating investors, security type, close date or use of proceeds. It said FieldAI had more than $135M in revenue and customer contracts across more than 30 customers, citing a person familiar with the company. Those figures provide context for the proposed valuation but are not audited public financials.

FieldAI has raised substantial capital before. In August 2025, the company announced $405M across 2 rounds, with prior investors including Bezos Expeditions, BHP Ventures, Canaan Partners, Emerson Collective, Intel Capital, Khosla Ventures, NVentures, Prysm and Temasek. None of those investors has been identified as a participant in the newly reported financing.

Why investors may see a software platform

FieldAI was founded in 2023 by Ali Agha, a former NASA Jet Propulsion Laboratory principal investigator who now serves as founder and CEO. Shayegan Omidshafiei, a former Google and DeepMind research scientist, is President and CSO. Their company is building Field Foundation Models, a hardware-agnostic autonomy layer designed to reason about physics, uncertainty and risk in the physical world.

The commercial premise is broader than making one machine perform one task. FieldAI says its software can power quadrupeds, humanoids, wheeled robots, drones and industrial vehicles without prior maps, GPS, predefined routes or continuous cloud connectivity. A customer could choose the hardware that fits a job while reusing the intelligence layer, deployment tools and operating data across sites.

That software-layer thesis matters because robot hardware is fragmenting. Different machines are better suited to inspections, material movement, security, construction documentation and hazardous environments. If one autonomy system can reliably travel across those form factors, FieldAI can sell into a wider set of workflows without manufacturing every body itself.

This approach also changes who competes with whom. Robot makers can improve mobility, sensors and manipulation while autonomy providers compete to become the reusable control layer across those machines. For industrial buyers, the practical question is whether that separation reduces deployment cost and vendor lock-in or simply moves complexity into another software relationship.

The deployment loop behind the valuation

Physical AI faces a difficult adoption loop. Customers want proof that a robot can operate safely in an unpredictable environment before allowing broad deployment, but autonomy models improve through data gathered during real operations. The company that earns enough trust to deploy can gather more varied data, improve faster and make the next deployment easier.

FieldAI has been building that loop through industrial partnerships. A March 2026 collaboration with NVIDIA connects live robotic deployments with simulation and digital-twin workflows. A separate Boston Dynamics partnership combines FieldAI's models with the Spot quadruped for construction inspection, mapping and monitoring.

Those relationships help explain the market logic, but they do not settle the economics. Company-reported deployment gains, customer-contract totals and technical performance still have to translate into recognized revenue, repeatable margins, renewal behavior and scalable support. A $10B valuation would place a large price on that conversion happening across industries.

What the proposed round would change

FieldAI has not disclosed a use-of-proceeds plan for the reported 2026 financing. Its 2025 capital was intended to support global growth, product development across locomotion and manipulation, and hiring, but those earlier plans should not be automatically assigned to an unclosed round.

If the $700M financing closes, FieldAI would have considerably more room to expand deployments, research, infrastructure and commercial coverage while physical AI competition is intensifying. The company would also inherit a higher proof burden: a fivefold valuation increase in just over a year turns operational consistency, contract conversion and cross-hardware performance into the numbers that matter after the headline.

The most important part of FieldAI's story will keep happening away from the financing table. A construction site, factory or security operation changes between shifts, and the robot still has to return ready for the next task. Investors may be pricing the intelligence layer as a platform; customers will decide whether it behaves like one when the environment refuses to stand still.