PhysicsX

PhysicsX is an AI-native engineering platform built around physics AI models and Large Physics Models that evaluate simulations in seconds instead of hours or days, across design, manufacturing, and operations. It is designed for multi-physics engineering systems where structural, thermal, electromagnetic, and chemical analyses are normally performed separately in different tools by different teams.

The platform has four core components, per the vendor newsroom article: Simulation Workbench, a unified data foundation that automates simulation workflows across solvers and converts outputs into ML-ready representations merged with experimental and operational data; AI Workbench, a unified environment to develop, train, fine-tune, and deploy physics AI models, with access to proprietary PhysicsX and third-party model architectures such as NVIDIA PhysicsNeMo and NVIDIA Apollo, plus the Opora modeling framework and pre-trained Large Physics Models; Engineering Applications, which translate AI capability into day-to-day workflows through web interfaces, APIs, and edge deployments; and enterprise-ready deployment as a hosted service, in the customer's cloud, or fully air-gapped, with SOC 2 and ISO 27001 certifications.

Models integrate robust uncertainty quantification and active learning, and insights flow across teams and lifecycle stages. A Delivery team of domain experts in physics, simulation, and AI works alongside customer teams to apply the platform to high-value use cases, build and validate models, and encode what works into reusable templates and productized applications.