PhysicsX

What PhysicsX does

PhysicsX is a physical AI company building a new software stack to deliver deep AI enablement across the entire engineering lifecycle. Their platform unifies simulation, physics AI, data, and engineering applications into a single foundation, integrating natively with existing tools. It is purpose-built for the full product lifecycle, from early concept and design through manufacturing and operations. PhysicsX partners with leading organizations to redefine what's possible in engineering by embedding physics AI directly into engineering workflows, compressing the distance between imagination and build.

Products

• PhysicsX PlatformAn AI-native engineering platform that unifies simulation, physics AI, data, and engineering applications into a single foundation, integrating natively with existing tools. It is purpose-built for the full product lifecycle: from early concept and design through manufacturing and operations.
• Simulation WorkbenchA unified system for simulation management and orchestration.
• AI WorkbenchAn environment for the development and deployment of Deep Physics Models (DPMs).
• Engineering ApplicationsWorkflows for engineers to seamlessly harness AI, offering intuitive, no-code solutions for optimization and process control.
• Model CatalogA catalog of custom-trained, out-of-the-box, and third-party AI models.
• Data UnificationA unified system of record for experimental data, supporting 2D/3D analysis, transformation, labeling, and data lineage.

Key capabilities

• AI-native engineering software stack
• Unifies simulation, physics AI, data, and engineering applications
• Integrates natively with existing engineering tools
• Purpose-built for the full product lifecycle (concept, design, manufacturing, operations)
• Fast AI-driven physics inference combined with numerical simulation
• Rapidly develop, deploy, and scale new generation of AI tools
• Advanced model architectures, optimization, built-in uncertainty quantification, and benchmarking tools for DPMs
• Intuitive, no-code solutions for engineers and technicians
• Flexible enterprise deployment with multi-cloud scalability
• Enterprise-grade security
• CAE software integrations for streamlined workflows
• Project templates for rapid setup and accelerated time to value
• Unified AI across the engineering lifecycle
• Pre-configured pipelines, patterns, and practices
• Multi-physics foundation models
• High-fidelity multiphysics simulation
• CAD and CAE connectors
• Geometry and physics foundation models

Use cases

• Accelerating design cycles
• Optimizing processes
• Boosting manufacturing throughput
• Enhancing performance of components and systems across multi-physics domains
• Building reusable AI and simulation assets
• Unifying workflows across domains and teams
• High-speed optimization in design
• Maximizing throughput and minimizing waste in manufacturing with simulation insights
• Optimizing usage with AI informed plans and deep insights from virtual sensors
• Optimizing engines, aerodynamics, and observability in aerospace & defense
• Improving manufacturing, QA throughput, and predictive maintenance in aerospace & defense
• Optimizing machine components, subsystems, and process parameters in semiconductor production (wafer fabrication, lithography, deposition, etching, vacuum pumps)
• Modeling, testing, and optimizing material properties
• Refining component design across production lines (furnaces, mixing baths, heat exchangers, conveyor belts, feeders)
• AI-powered process control to maximize production, minimize emissions, and reduce maintenance in materials
• Accelerating virtual development for crash safety in automotive
• Accelerating virtual development for external aerodynamics in automotive
• Accelerating virtual development for thermal management in automotive
• Accelerating manufacturing processes like (giga)-casting in automotive
• Accelerating design, manufacturing, and operations across energy generation, storage, transmission, and low-carbon technology (e.g., electrolyzers, carbon capture units)

AI approach

PhysicsX builds an AI-native engineering software stack that integrates physics AI directly into engineering workflows. Their platform unifies simulation, physics AI, data, and engineering applications. They develop and run Deep Physics Models (DPMs) with advanced model architectures and optimization, and their models can integrate insights from real-world data. They also offer custom-trained, out-of-the-box, and third-party AI models.

Tech named: Deep Physics Models (DPMs), Fourier Neural Operator, physics AI, AI-driven physics inference, numerical simulation

Industries served

• Aerospace & Defense
• Automotive
• Semiconductors
• Materials
• Energy & Renewables

What it says sets it apart

• AI-native platform, not AI bolted onto existing toolchains
• Embeds physics AI directly into engineering workflows
• Compresses the distance between what can be imagined and built
• Focus on solving high-stakes, real-world problems in industrial sectors
• Combines physicists, AI researchers, engineers, and operators from leading institutions
• Works on problems that matter, embedded inside customer programs
• Accelerates simulation by orders of magnitude
• Expands the design space that can realistically be explored
• Enables engineers to move from concept to validated design in days, not months
• Forward-deployed engineers embed directly into customer programs

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.