Jun 25, 2025

This startup raised $135M to make engineering ten times faster PhysicsX, a London-based engineering software company, recently closed a $135 million Series B funding round, highlighting a shift in how AI is used in manufacturing and product development. The raise positions PhysicsX as a pivotal player among AI-native firms aiming to overhaul outdated computational engineering processes. Led by Atomico with support from investors such as Temasek, Siemens, and Applied Materials, the new investment brings PhysicsX’s total funding to nearly $170 million. The company’s focus lies in developing AI tools capable of simulating and optimizing physical systems, allowing engineering teams to design, test, and refine products with increased speed and accuracy. Founded by experts blending motorsport and machine learning PhysicsX was co-founded by Robin Tuluie, a theoretical physicist with experience in Formula One and NASCAR, and Jacomo Corbo, who previously served as the chief data scientist at McLaren. Their shared vision for integrating advanced AI models with core engineering workflows drives the company’s mission to modernize the entire product lifecycle, from early-stage R&D to real-time field deployment. The founders recognized the limitations of traditional simulation-based engineering and set out to develop AI systems that work in tandem with physics models. Their platform enables companies to move from testing individual designs to exploring vast design spaces through AI, reducing development time and cost. Strategic investors reinforce industrial AI’s growing importance The involvement of global industrial leaders signals confidence in AI-native engineering. Siemens’ participation, through its venture capital arm, reflects a broader shift toward digital transformation in manufacturing. Applied Materials and new backers such as July Fund also bring strategic insight into how AI tools can be applied in semiconductor design, energy systems, and advanced materials engineering. Atomico partner Siraj Khaliq, who led the investment, emphasized PhysicsX’s potential to become foundational to industrial companies looking to embed AI into their engineering practices. This supports points to increasing alignment between venture capital and the deep-tech ambitions of industrial giants. AI platforms like PhysicsX promise breakthroughs in engineering precision At the heart of PhysicsX’s offering is a platform that combines AI-driven inference with high-performance physics simulation. This hybrid approach accelerates time-consuming engineering processes like fluid dynamics, thermodynamics, and structural analysis by orders of magnitude. The platform allows for real-time predictive modeling, adaptive testing, and optimization across millions of engineering scenarios simultaneously. Its solutions are already being applied in aerospace, automotive, and energy sectors, helping engineers respond to tighter design tolerances, sustainability demands, and the growing need for digital twins. By improving product quality while reducing cycle times, PhysicsX helps companies meet performance and regulatory benchmarks faster. With the Series B funding in place, PhysicsX plans to expand its engineering and commercial teams globally, further develop its platform, and deepen integrations with customer systems. With AI becoming more embedded in manufacturing, PhysicsX aims to serve as a backbone technology provider for industries under pressure to innovate more quickly and cost-effectively. Sources: