The partnership aims to establish industry world models — science-validated AI systems grounded in physics that can serve as mission-critical platforms across biology, materials science, engineering and manufacturing.
In Daloz’s framing, the value moves upstream: virtual twins become the place where knowledge is created, tested and trusted — before anything is built in the physical world.
Dassault Systèmes, whose 3DEXPERIENCE platform serves more than 45 million users and 400,000 customers globally, has long been a leader in virtual twin technology — digital replicas that let engineers simulate products and processes before building them physically.
The collaboration brings together accelerated computing, AI and digital twin technologies so engineers can design geometry as well as behavior — and explore radically larger design spaces earlier in development.
Together, the companies outlined how this shared architecture will show up across science, engineering and manufacturing workflows:
Advancing Biology and Materials Research: The NVIDIA BioNeMo platform and BIOVIA science-validated world models accelerate the discovery of new molecules and next-generation materials.
AI-Driven Design and Engineering: SIMULIA AI-based Virtual Twin Physics Behavior using NVIDIA CUDA-X and AI physics libraries empowers designers and engineers to accurately and instantly predict outcomes.
Virtual Twins for Every Factory: NVIDIA Omniverse physical AI libraries integrated with the DELMIA Virtual Twin enable autonomous, software-defined production systems.
Virtual Companions Supercharge Dassault Systèmes’ Users: The 3DEXPERIENCE agentic platform, combining NVIDIA AI technologies and NVIDIA Nemotron open models with Dassault Systèmes’ Industry World Models, powers Virtual Companions to tap into deep industrial context, delivering trusted, actionable intelligence.
Huang said that in domains like biology and materials, the frontier is learning the underlying “language” of complex systems and then generating new options that can be evaluated and validated in simulation.
A central theme of the discussion was how factories themselves are changing — from static physical assets to living systems that are designed, simulated and operated as virtual twins.
As part of the partnership, Dassault Systèmes is deploying NVIDIA-powered AI factories on three continents through its OUTSCALE sovereign cloud, enabling customers to run AI workloads while maintaining data residency and security requirements.
Both executives emphasized that the goal isn’t to replace engineers — it’s to amplify them. As AI agent companions take on more exploratory and repetitive tasks, designers and engineers gain leverage and creativity, not redundancy.
Every designer will have a “team of companions,” Huang said — a shift he described as fundamentally positive for engineers, software platforms and the broader ecosystem built on them.
For the 10s of millions of engineers who use Dassault Systèmes tools to design everything from aircraft to consumer packaged goods, the shift isn’t about replacing human creativity — it’s about expanding it.
“Success is not about automation,” Daloz said. “[Engineers] don’t want to automate the past — they want to invent the future.”
Looking ahead, Daloz framed the partnership as about more than performance gains — it’s an effort to open new possibilities, help companies eliminate bad choices before they become expensive mistakes and create entirely new categories of products.
“Virtual twins and the 3D universes are not applications,” Daloz said. “They are knowledge factories.”
The fireside conversation between Huang and Daloz was broadcast live from 3DEXPERIENCE World.
See what’s next with our partnership at GTC San Jose from March 16-19 by catching Florence Hu-Aubigny’s session on virtual twins and exploring demos for each of our collaborations in booth 1841 in the Industrial AI and Robotics pavilion.
Code, Compute and Connection: Inside the Inaugural NVIDIA AI Day São Paulo
Key considerations
- Investor positioning can change fast
- Volatility remains possible near catalysts
- Macro rates and liquidity can dominate flows
Reference reading
- https://blogs.nvidia.com/blog/huang-3dexperience-2026/#content
- https://www.nvidia.com/en-us/
- https://blogs.nvidia.com/?s=
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