What PhysicsX does

PhysicsX is an AI-native engineering software company headquartered in London (UK), with offices in New York, the Bay Area, and Singapore, that builds a unified platform for industrial engineering and manufacturing workflows. The platform is composed of three modules — Simulation Workbench (a data and orchestration backbone across heterogeneous CAE solvers), AI Workbench (model development and deployment environment built around the proprietary Opora framework and integrating NVIDIA PhysicsNeMo and Apollo), and Engineering Applications (engineer-facing no-code workflows) — and is delivered via hosted, customer-cloud, or air-gapped deployments under ISO 27001 and SOC 2 controls.

At the model's layer, PhysicsX productizes Large Physics Models (frontier pre-trained physics AI models that generalize across components and physics domains) and Large Geometry Models (LGM-Aero, trained on 25 million Siemens shapes). The PhysicsX Data Factory autonomously runs Simcenter STAR-CCM+ CFD simulations to generate proprietary industrial training datasets such as PXNetCar (20,000+ simulations across 260+ baseline vehicle geometries). The company serves industrial customers in aerospace and defense, semiconductors, automotive, materials, energy and renewables, and AI data-center infrastructure.

Revenue is generated through three streams: enterprise platform subscriptions and licenses, forward-deployed Delivery and professional services with embedded engineers, and custom private Large Physics Model build-outs on customer data. Go-to-market is enterprise field sales, co-sell with strategic partners (Siemens, NVIDIA, Microsoft, AWS, CoreWeave, Deutsche Telekom / T-Systems), event-driven demand generation, and a free self-serve surface (Ai.rplane) used as top-of-funnel for enterprise pilots. The company closed a $300M Series C led by Temasek at a ~$2.4B valuation in June 2026 on cumulative funding of roughly $487M, with the team having scaled to over 300 employees and revenue projected near $50M for FY2026 with plans to more than double in FY2027.

Name

PhysicsX

Legal name

PhysicsX Ltd.

Website

https://physicsx.ai

Company type

Private

Founded year

2022

Operating status

Operating

Headcount range

101–250 employees

Short description

PhysicsX is an AI-native engineering software company that builds foundation physics models and a unified simulation, AI, and engineering-applications platform for industrial customers across aerospace and defense, semiconductors, automotive, materials, energy, and AI data-center infrastructure.

Ownership category

akta.pro rank

Product category

Industrial AI Engineering Simulation Software

NAICS

Search, Detection, Navigation, Guidance, Aeronautical, and Nautical System and Instrument Manufacturing (334511), Computer Systems Design Services (541512), Aerospace Product and Parts Manufacturing (33641)

SIC

Search, Detection, Navagation, Guidance, Aeronautical Sys (3812), Services-Computer Integrated Systems Design (7373)

akta.pro primary industry

AI Compiler, Runtime & Kernel Optimization Software (CUDA/ROCm/XLA, graph compilers) (HDAAAAAI)

akta.pro secondary industry

Avionics Integration, Wiring Harnesses & Installation Kits (IMABAFAL)

Keywords

• Physics simulation software
• Engineering AI platform
• Computational fluid dynamics
• Industrial design optimization
• Generative engineering models

Headquarters

HQ city

London

HQ country

United Kingdom

HQ region

Europe

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations

Revenue model

1. Enterprise platform subscriptions and licenses: Recurring enterprise contracts for access to the PhysicsX platform (Simulation Workbench, AI Workbench, Engineering Applications), including hosted, customer-cloud, and air-gapped deployments for industrial customers.
2. Forward-deployed Delivery and professional services: Revenue from the Delivery team that embeds domain-expert engineers inside customer programs to scope, build, validate, and productize physics AI applications; operates alongside customer engineering teams on multi-quarter engagements.
3. Custom model build and private Large Physics Model development: Revenue from building customer-specific private LPMs trained on proprietary customer data, with associated infrastructure, security, and certification requirements (SOC 2, ISO 27001).

Pricing tiers

Go-to-market motion4 records

Core offering

PhysicsX develops and sells an AI-native engineering software platform that unifies simulation, physics AI, data, and engineering applications into a single foundation for the full product lifecycle, from early concept and design through manufacturing and operations. The platform comprises three core modules — Simulation Workbench (data foundation and simulation orchestration across CAE solvers), AI Workbench (development, training, and deployment of physics AI models), and Engineering Applications (engineer-facing workflows and edge deployments) — together with productized Large Physics Models (LPMs), the LGM-Aero Large Geometry Model for aerospace, and the free Ai.rplane generative aircraft design application. A forward-deployed Delivery team embeds inside customer engineering programs to scope, build, validate, and productize physics AI applications across aerospace & defense, automotive, semiconductors, materials, energy & renewables, and data centers.

Product overview

PhysicsX offers a single unified AI-native engineering and manufacturing platform rather than a collection of point solutions. The platform is composed of three core modules — Simulation Workbench (data foundation and orchestration), AI Workbench (model development and deployment), and Engineering Applications (engineer-facing workflows) — all supported by enterprise-grade Platform Services for multi-cloud, security, and CAE software integrations. On top of this foundation, PhysicsX ships productized AI capabilities including Large Physics Models (LPMs), the LGM-Aero Large Geometry Model for aerospace, the Opora modular modeling framework, and the Ai.rplane showcase generative AI application for aircraft design. The PhysicsX Data Factory (with PXNetCar) generates proprietary high-fidelity CFD training data at scale, while forward-deployed Delivery teams work alongside customers to apply the platform across aerospace & defense, automotive, semiconductors, materials, and energy & renewables.

Differentiator

Problem solved

Functional benefit

Brands

• Ai.rplane: Free-to-use generative AI platform for aircraft design and aerodynamic optimization, built on PhysicsX's Large Geometry Model (LGM-Aero) trained on over 25 million 3D shapes and tens of thousands of physics simulations; available at airplane.physicsx.ai.
• LGM-Aero
• Opora

Products and services

• PhysicsX Platform AI-native engineering software stack that unifies simulation, physics AI, data, and engineering applications into a single foundation for the full product lifecycle, from early concept and design through manufacturing and operations. Comprises Simulation Workbench (data foundation and simulation orchestration across CAE solvers), AI Workbench (development, training, and deployment of physics AI models with NVIDIA PhysicsNeMo and Apollo integrations), and Engineering Applications (engineer-facing workflows and edge deployments). Supports hosted, customer-cloud, and air-gapped deployment. Sold to industrial customers in aerospace & defense, automotive, semiconductors, materials, energy & renewables, and data centers.
• Large Physics Models (LPMs) Frontier pre-trained physics AI models that generalize across components, physics domains, and system scales. Trained on physics-based simulation data and proprietary industrial datasets including PXNetCar, LPMs compress simulation and optimization cycles so engineers can explore vast design spaces and accelerate product development. Delivered with built-in uncertainty quantification via Monte Carlo Dropout and supported by active learning workflows. Customers can build private LPMs trained on proprietary data with associated infrastructure, security, and certification requirements.
• Ai.rplane Free generative AI platform for aircraft design built on PhysicsX's LGM-Aero Large Geometry Model. Aerospace engineers can filter designs by performance parameters, visualize a latent design space, modify geometries with instant feedback, and export final designs as STL files. Predictions run in seconds versus hours for traditional CFD and FEA. Used as an awareness and developer-engagement funnel into enterprise platform deals.
• LGM-Aero (Large Geometry Model for Aerospace) Free-to-use Large Geometry Model for aerospace trained on a Siemens dataset of 25 million shapes and tens of thousands of physics simulations. Enables real-time simulation and optimization of airplane aerodynamics by adjusting parameters such as thrust, wingspan, and lift, providing a foundational geometry model that accelerates aerodynamic optimization orders of magnitude faster than traditional simulation.
• Opora PhysicsX's modular, configuration-driven modeling framework providing a composable library of rigorously tested modeling primitives — including neural operators, graph neural networks, integral transform-based architectures, and multi-resolution models — that engineering teams can assemble into bespoke architectures within a unified, reproducible environment. Contributed to the NVIDIA collaboration to define open standards for physics AI architecture and used within AI Workbench.

Ideal customer profiles1 record

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration9 records

AI capability10 records

Feature7 records

Recent moves8 records

Expansion highlights9 records

Direct peers

• Altair Engineering: Provides CAE/simulation software (HyperWorks, Inspire) increasingly augmented with AI-driven design and surrogate modeling. Most directly comparable pure-play engineering simulation platform now embedding physics AI into its core suite.
• Monolith AI: AI platform for engineering (Next-Generation AI) used by automotive and industrial OEMs to accelerate simulation and design. Closest pure-play AI-for-engineering peer to PhysicsX in target customers and use cases.

Broad incumbents

• ANSYS: Dominant industrial simulation vendor (Fluent, Maxwell, Mechanical) now embedding AI surrogates and generative design across its portfolio. Competes with PhysicsX for the same aerospace/auto/energy engineering budgets at much larger scale.
• Dassault Systèmes: Owner of the 3DEXPERIENCE platform and SIMULIA simulation suite. Serves the same industrial engineering customers with PLM-integrated simulation and is actively adding AI capabilities that overlap with PhysicsX's Deep Physics Models.
• Siemens Digital Industries Software: Owner of Simcenter (Star-CCM+, NX) and a strategic investor plus partner of PhysicsX. Competes and collaborates simultaneously; its installed base and CAD/CAE footprint are the primary alternative to deploying PhysicsX inside enterprise engineering programs.
• Synopsys: EDA and multi-physics simulation vendor with an Ansys acquisition pending. Competes for engineering simulation budgets in semiconductor and systems design where PhysicsX also targets customers.
• Cadence Design Systems: Provides EDA and computational fluid / multiphysics simulation, increasingly augmented with AI-driven surrogate models. Overlaps with PhysicsX in semiconductor and electronics-adjacent engineering workloads.

Emerging players

• Rescale: Cloud HPC platform purpose-built for engineering simulation, with growing AI/surrogate-modeling capabilities. Comparable in targeting industrial customers with cloud-native, AI-augmented simulation workflows.
• Beyond Math: Early-stage physics-AI startup building neural surrogate models for engineering simulation. Comparable emerging physics-AI player targeting similar industrial engineering workflows as PhysicsX.
• Citrine Informatics: AI platform for materials and chemicals R&D, applying machine learning to engineering and formulation problems. Adjacent in applying AI to physical/engineering problems, with overlap in the materials and energy verticals PhysicsX serves.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat6 records

Key risks6 records

Key highlights7 records

Customer concentration

• LinkedInlinkedin.com/company/physicsx
• Instagraminstagram.com/physicsx.ai
• Xx.com/PhysicsxAI

Compliance2 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles8 records

Funding overview

Funding rounds4 records

Investors15 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about PhysicsX