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AI Agents · Physics-grounded Virtual Companions automate engineering with scientific verification
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Industry world models combine multi-physics simulation with LLMs to eliminate hallucination in engineering
Unlike generic generative AI that learns world dynamics from observation, Dassault's industry world models embed scientific laws (physics, chemistry, material science) and multi-scale simul…
AI Agentstailwindscore 9/10nicolas cerisier
Physics-grounded Virtual Companions automate engineering with scientific verification
Dassault's Virtual Companions (AURA, LEO, MARIE) combine industry world models with multi-scale simulation solvers to perform experience-based reasoning, enabling agents to run millions of…
Dassault shifts from SaaS to agent-as-a-service for 45M industrial users
Dassault Systèmes is restructuring its 3DEXPERIENCE platform—used by 45M users across 400K customers—to deliver AI agents (Virtual Companions) as a core service, embedding reasoning, physic…
AI Agentstailwindscore 8/10nicolas cerisier
Virtual Companions act as specialized AI coworkers (engineer, scientist, business expert) with auditability and human-in-the-loop control
Dassault deploys three Virtual Companions—AURA, LEO, MARIE—that orchestrate industry world models to execute regulated, IP-protected workflows, with IP Lifecycle Management providing full l…
NVIDIA's full-stack accelerated computing enables industrial agentic AI at scale
NVIDIA's integrated hardware-software stack—GPUs, CUDA-X, NIMs, Nemotron, Omniverse, and new agentic blueprints—provides the compute, model optimization, simulation acceleration, and agent…
Dassault Systèmes builds agentic AI platform on NVIDIA stack for industrial physics
Dassault is transforming its 3DEXPERIENCE platform from SaaS to agent-as-a-service by embedding NVIDIA NIMs, Nemotron, BioNeMo, and Omniverse across understanding, reasoning, and execution…
Virtual Twins become self-evolving assets as agents run millions of physics simulations to train themselves
Long-running autonomous agents will continuously monitor factories and supply chains, using Virtual Twins as a 'gym' to run millions of design experiments and proactively optimize the digit…
Hybrid model strategy balances frontier performance with data sovereignty and regulatory compliance for global industrial customers
Dassault selects models (NVIDIA Nemotron, Mistral, proprietary) based on performance plus sovereignty constraints, deploying via NIMs on their OUTSCALE IaaS to meet auditability requirement…
Regulatory compliance and data sovereignty drive hybrid model strategy in industrial AI
Dassault's global customer base in regulated industries (aerospace, healthcare, defense) requires model sovereignty and auditability, leading to a hybrid approach combining NVIDIA's optimiz…