Dassault Systèmes needed to speed trusted simulation, move compliance checks earlier, and help aerospace and automotive customers make design decisions faster without sacrificing predictive accuracy or information sovereignty.
Reported impact
Dassault Systèmes accelerated simulation and certification work for industrial customers, enabled earlier conformity checks across large requirement sets, reduced certification effort for aerospace workflows, and helped automotive teams move from concept to production faster without giving up trusted physics-based simulation.
Dassault Systèmes combined its 3DEXPERIENCE platform and SIMULIA AI-driven Virtual Twin of Physics Behavior with NVIDIA CUDA-X, NVIDIA PhysicsNeMo, NVIDIA Omniverse, and NVIDIA Nemotron open models to speed simulation and compliance workflows. Engineering data, 3D models, domain rules, and certification requirements stay connected inside 3DEXPERIENCE, where virtual twins preserve engineering context. CUDA-X and PhysicsNeMo accelerate multiphysics and physics-informed AI runs so teams can predict outcomes near real time instead of relying on slower traditional simulation loops. Omniverse libraries support industrial virtual-twin and AI-simulation applications, while Nemotron-powered virtual companions surface design and compliance guidance earlier in the workflow. NIAR uses the stack to align aircraft virtual twins with means of compliance, and Lucid Motors uses the same architecture to move vehicle programs from concept to production faster without losing predictive accuracy.
3D models, engineering data, simulation inputs, and compliance requirements are connected in 3DEXPERIENCE, SIMULIA runs CUDA-X- and PhysicsNeMo-accelerated physics simulations, and the resulting virtual-twin outputs feed Omniverse applications and Nemotron-powered companions that guide aerospace and automotive engineering teams.
AI physics takes simulation further by using open models and models trained on physics-based data to help predict outcomes in near real time.
Dassault Systèmes is combining its Virtual Twin technologies with NVIDIA AI infrastructure, open models and AI physics and Omniverse libraries to establish science-validated Industry World Models.
Lucid Motors is using Dassault Systèmes' 3DEXPERIENCE platform and Digital Twin simulation models powered by NVIDIA's open source physics-informed AI models to help move from concept to production faster without sacrificing predictive accuracy.
Using the platform to align the virtual twin to the means of compliance reduces certification efforts while preserving sovereignty of the information.
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Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
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