The artificial intelligence revolution in European deep tech is accelerating at unprecedented pace, with physics-based AI emerging as the next frontier for computational breakthroughs. London’s PhysicsX exemplifies this trend, having just secured €133 million in a Series B extension that brings the company tantalizingly close to unicorn status. The round, which includes strategic backing from NVIDIA’s venture arm, underscores how European AI startups are positioning themselves at the forefront of next-generation computing paradigms.
Founded by former DeepMind researchers, PhysicsX has carved out a distinctive niche in physics-informed machine learning, a domain that promises to revolutionise everything from materials science to climate modelling. The substantial funding injection reflects growing investor confidence in European AI capabilities beyond the consumer-focused applications dominating Silicon Valley discourse.
Strategic AI physics Series B extension attracts tier-one backing
The Series B extension was led by Atomico, the London-based venture firm known for its deep tech expertise and European market insights. The round’s strategic significance extends well beyond capital injection, with NVIDIA’s participation signalling the chip giant’s recognition of physics-based AI as a critical computing paradigm. This marks a notable validation of European deep tech capabilities by one of the world’s most influential technology companies.
Atomico’s involvement is particularly telling given the firm’s track record with European unicorns including Klarna, Supercell, and MessageBird. Partner Mattias Ljungman noted in the announcement: “PhysicsX represents the convergence of fundamental physics and artificial intelligence that will define the next decade of computational innovation. Their approach to physics-informed neural networks offers unprecedented accuracy in complex system modelling.”
The investor consortium reflects a sophisticated understanding of the deep tech landscape, combining financial capital with strategic expertise in AI acceleration and European market expansion. This blend of investors positions PhysicsX advantageously for both technological development and commercial scaling across fragmented European markets.
Physics-informed AI tackles European industrial challenges
PhysicsX’s technology addresses a fundamental limitation in current AI systems: the inability to incorporate physical laws and constraints into machine learning models. Their physics-informed neural networks promise dramatic improvements in accuracy for applications ranging from automotive simulation to renewable energy optimisation—sectors where European companies maintain global leadership.
The company’s European positioning offers distinct advantages in navigating the EU’s emerging AI Act, which emphasises transparency and explainability in artificial intelligence systems. Physics-based models inherently provide greater interpretability than black-box alternatives, potentially offering compliance advantages as European regulations crystallise.
CEO and co-founder Robin Chaux outlined the funding deployment strategy: “This extension allows us to accelerate our research whilst building the commercial infrastructure needed to serve European industrial customers. We’re seeing unprecedented demand from automotive, aerospace, and energy sectors for physics-accurate AI solutions.”
The company plans to establish additional European offices and expand its team of physics-AI researchers, addressing the continent’s growing appetite for explainable artificial intelligence solutions. With European industries facing increasing pressure to optimise efficiency whilst meeting stringent regulatory requirements, PhysicsX’s approach resonates strongly with corporate buyers seeking competitive advantages through advanced simulation capabilities.
This funding milestone reinforces London’s position as a premier destination for deep tech innovation, whilst demonstrating how European AI startups can attract world-class investors through differentiated technological approaches. The physics-AI convergence represents exactly the kind of fundamental innovation that European venture ecosystems excel at nurturing.