- Specialization
- Materials Science
- Business
Software Applicationsand 1 more business valuesLess
- Professional Services
- Market
Manufacturingand 3 more market valuesLess
- Defense
- Energy
- Transportation
- Ecosystem
- AI for science
- Customers
- Enterprises
More details
- Organization type
- Commercial Company
- Ecosystem
- AI for science
- Business
- Software Applications, Professional Services
- Specialization
- Materials Science
- Market
- Manufacturing, Defense, Energy, Transportation
- Customers
- Enterprises
- Delivery models
- Hosted Software, Professional Services
- Revenue models
- Not classified
- Listing status
- Not classified
- Latest equity round
- Series C
- Reported funding amount
- Not classified
About
PhysicsX builds an AI-native engineering platform that combines physics AI, numerical simulation, data, and engineering applications across the product lifecycle. It sells to industrial organizations in sectors including aerospace and defense, semiconductors, automotive, energy, and materials, differentiating through fast physics inference, real-world data integration, and enterprise workflow integration.
Market
PhysicsX competes in industrial engineering software and physics AI, combining numerical simulation, physics and geometry models, data, and engineering applications in an AI-native platform for the full product lifecycle. Its differentiation is the integration of high-fidelity simulation with foundation models and native CAD/CAE connectivity, enabling physical-behavior predictions in seconds rather than hours or days and supporting broader use by engineers, designers, and operators than traditional specialist-led simulation workflows.
PhysicsX targets large industrial enterprises with complex, physics-intensive hardware and production workflows, especially aerospace and defense, semiconductors, automotive, energy, materials, industrial machinery, and data centers. Its primary users and buyers are engineering, design, manufacturing, and operations teams seeking to evaluate more design variants, improve productivity, and deploy physics-based AI across the product lifecycle.
At a Glance
Problem
PhysicsX addresses a core bottleneck in industrial hardware development: simulation workflows are slow, expensive, and difficult to scale, even as aerospace and defense, energy, semiconductors, automotive, and other hardware-intensive industries face pressure to ship better products on tighter timelines. The main use case is accelerating high-fidelity engineering simulation so teams can explore far more design variants during product development and carry validated physics insight into manufacturing and operational digital twins.
Product / Service
PhysicsX provides an AI-native engineering platform and software stack that embeds physics AI directly into industrial engineering workflows. Its models predict physical behavior in seconds rather than hours or days, allowing engineers to evaluate orders of magnitude more designs; the company also says its Large Physics Models can ingest real-world data to augment conventional simulation and make previously impractical applications feasible.
The delivery model is program- and customer-embedded rather than a generic benchmark product: PhysicsX works inside customer programs to build and deploy AI that changes how engineers operate. The benefit is a shorter design cycle, greater simulation throughput, and the ability to use physics-informed models continuously from early-stage design and manufacturing through real-time operation.
Market
PhysicsX competes in the emerging physics-AI, engineering simulation, and industrial digital-twin software market. Its platform is deployed across aerospace and defense, semiconductors, industrial machinery, automotive, energy, and materials. Public sector listings place it alongside UK and Ireland manufacturing-tech AI companies such as Monolith, BeyondMath, Robok AI, and Luffy AI, although the broader competitive set is still forming and is not limited to direct like-for-like peers.
PhysicsX is clearly not pre-revenue: in its June 2026 financing announcement, the company reported that recognized revenue had doubled year over year, booked revenue had tripled, and its customer count had more than doubled. It also announced an oversubscribed $300 million Series C at an approximately $2.4 billion valuation, with the platform already deployed across multiple industrial sectors, indicating substantial commercial traction.
Founders & Leadership
Funding History
General Catalyst
Not disclosed in available records
Atomico
NVentures
Temasek
Recent News
PhysicsX published research showing that physics-guided generative 3D AI can bypass traditional CAD constraints when designing engineering components. In a jet-engine bracket benchmark, the system generated a design that met stress requirements while reducing weight by 18.5% versus the previous human design.
PhysicsX published a technical announcement reporting that it had topped the PLAID physics benchmark leaderboard for nine months and that one of its AI agents achieved zero error on the Tensile2D task. The post described the result as evidence of broader implications for physics-AI benchmarking and said the company was working to translate the advances into future customer capabilities.
PhysicsX announced PX-Car-Aero-v1, a physics-AI model focused on automotive aerodynamics. The model was presented as part of the company’s effort to scale physics AI for aerodynamic engineering.
PhysicsX and Siemens Smart Infrastructure announced an AI-accelerated modeling and optimization framework built on Siemens' multiphysics simulation workflows. The collaboration also extends NVIDIA's Omniverse DSX Blueprint to improve the design and operation of data-center power infrastructure.
PhysicsX became Official AI Engineering Platform Partner for GB1, Britain's challenger for the 2027 America's Cup. PhysicsX will deploy its AI-native engineering platform for system-level modeling and optimization across aerodynamics, hydrodynamics, structural mechanics, and control systems.
PhysicsX announced that its AI-native engineering platform went live on Deutsche Telekom's Industrial AI Cloud, powered by NVIDIA accelerated computing. The deployment supports secure training and deployment of physics AI, governed industrial data integration, and joint onboarding of European industrial customers.
PhysicsX announced a new Series B investment from NVentures, NVIDIA's venture capital arm, bringing total Series B funding to more than $155 million and valuing the company at nearly $1 billion. The round included participation from Atomico, Temasek, Siemens, Applied Materials, July Fund, and other existing investors.
PhysicsX and Deutsche Telekom announced a three-year strategic partnership to scale AI-native engineering for European industry. PhysicsX will use Deutsche Telekom's sovereign Industrial AI Cloud to advance its physics foundation models, while T-Systems will support customer onboarding and forward-deployed engineering teams.
Active Roles
40Business Model
PhysicsX monetizes enterprise deployments of its AI-native engineering software platform, supported by customer-specific delivery, platform integration, and managed solutions. Public materials do not disclose exact pricing or whether contracts are subscription-, usage-, or project-based.
Products
Customers
Tech Stack
Similar Companies
Competitors
Key Investors
Atomico, Temasek, Siemens, Applied Materials, July Fund, General Catalyst, NGP Energy Capital Management, Radius Capital, Standard Investments, Allen & Co.