PhysicsX Raises $135M Series B to Accelerate AI‑Driven Engineering and Manufacturing

PhysicsX, a London‑based physical AI company that aims to transform engineering and manufacturing with artificial intelligence, has secured significant new funding in a Series B financing round, bringing its total capital raised to nearly $170 million since inception. The company’s latest round, announced in June 2025, was led by Atomico and drew participation from a mix of strategic and financial investors including Temasek,Siemens, Applied Materials, and July Fund, alongside continued backing from earlier supporters such as General Catalyst, NGP, Radius Capital, Standard Investments, and Allen & Co.

Founded in 2023 by industry veterans Robin Tuluie and Jacomo Corbo, PhysicsX is building an AI‑native software stack designed to accelerate and automate complex engineering workflows across sectors such as aerospace, automotive, semiconductors, materials science, and energy. The technology leverages machine learning to bring high‑fidelity physics simulation and optimization directly into engineering processes, helping companies overcome traditional bottlenecks in design and manufacturing.

The Series B funding, which totaled $135 million in the original tranche, will be used to accelerate the company’s global expansion, deepen product development, and scale up its enterprise software platform for advanced industries. Since its earlier Series A in 2023, which raised $32 million led by General Catalyst with participation from Standard Investments, NGP, Radius Capital, and others, PhysicsX has grown its team significantly and more than quadrupled its revenue, reflecting strong market demand for AI‑driven engineering tools.

In a subsequent extension of the Series B round announced in November 2025, NVentures, the venture capital arm of NVIDIA, also joined the investor lineup, bringing total commitments in the Series B financing to more than $155 million and contributing to a valuation approaching $1 billion.

PhysicsX’s co‑founders bring deep domain expertise to the venture. Robin Tuluie previously held senior R&D roles in Formula 1 and automotive engineering, while Jacomo Corbo was a co‑founder and chief scientist at QuantumBlack (now part of McKinsey) and has extensive experience in AI. Their vision is to create software that can rapidly simulate and optimize physical systems, shortening product development cycles, reducing costs, and enabling innovations that were previously too complex or slow to explore with traditional methods.

Investors see PhysicsX’s approach as uniquely positioned at the intersection of AI and industrial engineering. Atomico, a leading European venture capital firm, emphasized the company’s potential to unlock a “new engineering paradigm” by empowering engineers to solve problems beyond the reach of conventional tools. Likewise, Siemens’ involvement underscores the strategic interest from industrial players in applying AI to real‑world manufacturing and design challenges.

The capital raised will support PhysicsX’s efforts not only to expand its market presence but also to develop larger and more powerful physics foundation models, which are central to the company’s platform. These models aim to accelerate simulation tasks that historically require significant computing resources, enabling engineers to iterate designs faster and explore a broader range of possibilities in product development.

Headquartered in London with offices in New York, PhysicsX has already seen its technology embedded in workflows across demanding industrial environments. As companies across aerospace, automotive, energy, and other sectors face mounting pressure to innovate quickly and efficiently, PhysicsX’s AI‑native platform is positioned as a key tool in meeting those challenges.

The company’s rapid scaling and high‑profile investor support reflect broader trends in the adoption of AI for complex engineering and manufacturing tasks. As AI capabilities expand into physical sciences and industrial applications, investors are increasingly backing startups that can bridge the gap between traditional engineering and data‑driven automation, with PhysicsX emerging as one of the most capitalized players in this space.