PhysicsX

• Field: AI-driven Physics Simulation and Engineering Optimization
• Headquarters: London, UK
• Founded: (Emerged from stealth in 2023, but research/development likely predates this)

Core Innovation & Technology: PhysicsX’s core innovation lies in its unique approach to fusing Artificial Intelligence with fundamental physics to accelerate engineering innovation. They are building a new software stack that moves beyond traditional numerical physics simulations to AI inference, enabling dramatically faster and more efficient design, manufacturing, and operation of complex products and processes.

Their technology focuses on:

• Physics-based Foundation Models: PhysicsX develops AI models that learn and understand the underlying physics of a system. Instead of merely crunching numbers for a single simulation, these models can infer behavior across a wide range of conditions and designs.
• AI for Simulation Acceleration: They use AI to significantly speed up the execution of complex multi-physics simulations, which traditionally are computationally expensive and time-consuming. This allows for rapid iteration and exploration of design spaces.
• Generative AI for Engineering: PhysicsX leverages generative AI to create innovative geometries and designs, optimizing components within defined constraints. This moves beyond simply analyzing existing designs to generating new, optimized ones.
• Full Engineering Lifecycle Integration: Their platform supports the entire engineering lifecycle, from data generation and model training to deployment and continuous optimization in real-world operations.

Key Features and Differentiators:

• Disrupting Traditional CAE/Simulation: PhysicsX aims to replace or heavily augment traditional Computer-Aided Engineering (CAE) and simulation tools by injecting AI at the core of the process, moving from “simulation as a service” to “inference as a service.”
• Hardware Innovation at Software Speed: By accelerating the simulation and design process, they enable faster hardware iteration cycles, bringing the agility of software development to physical product innovation.
• Broad Industry Application: While deeply rooted in physics, their solutions are designed to be sector-agnostic for complex engineering problems, with current applications in semiconductors, aerospace & defense, materials, energy & renewables, and automotive.
• Multidisciplinary Team: Their team combines deep expertise in numerical physics, AI, and industrial engineering, drawing from backgrounds in demanding fields like Formula One.

Market Position & Milestones:

• Significant Seed Funding: PhysicsX emerged from stealth in 2023 with a substantial funding round (€32M), indicating strong investor confidence in their disruptive potential.
• Strategic Partnerships: They announced a strategic collaboration with Microsoft in May 2025 to accelerate engineering innovation, highlighting their growing influence and integration within major tech ecosystems.
• Industry Recognition: PhysicsX was named to CB Insights’ list of the “100 Most Innovative AI Startups of 2025” in April 2025, underscoring their impact and recognition in the AI landscape.
• Public Demonstrators: In December 2024, they released Ai.rplane, a public technology demonstrator powered by their cutting-edge Large Geometry Model (LGM-Aero), showcasing their capabilities.
• Focus on High-Impact Sectors: They target economically and strategically important industrial sectors where the complexity of physical systems makes AI-driven optimization particularly valuable.