Generative AI can predict whether a plane takes off—but does it know why? Nicolas Cerisier, VP of 3DEXPERIENCE Platform R&amp;D at Dassault Systèmes, explains how industrial world models go beyond pattern recognition to embed the actual laws of physics, chemistry, and engineering. In this episode of the NVIDIA AI Podcast, he also breaks down Dassault&#x27;s three virtual companions (AURA, LEO, and MARIE), their 25-year collaboration with NVIDIA, and a stunning real-world use case: helping NIAR rebuild aircraft designs part by part, using AI.

How Dassault Systèmes Is Building AI That Understands Physics - Ep. 296

NVIDIA AI Podcast

# Full Transcript

**Podcast:** AI-Powered Bot : Chatgpt

## Transcript

The agents can use the virtual twin as a gym to train themselves. So they can run millions of simulations or design experimentation and present to you, to the human, to the engineers, the proven solution.

Welcome to the NVIDIA AI Podcast. I'm Noah Kravitz. My guest is Nicolas Cerisier. Nicolas is Vice President of the 3D Experience Platform R&D for Dassault Systems. We're here to talk about the next generation of agentic AI systems, including industry world models, virtual companions, and the systems that are driving them. Nicolas, welcome to the NVIDIA AI Podcast. Thank you so much for taking the time to join us.

Nicolas Cerisier Thank you, Noah, and thank you for the invitation and this opportunity to be part of this podcast. Nicolas Cerisier Absolutely. The pleasure is ours. So maybe we can start with you telling the audience a little bit about Dassault Systems. Nicolas Cerisier Have a long running partnership with NVIDIA. So you can speak to that a little and then also to what your role is and what the 3D Experience Platform is. Nicolas Cerisier Okay. So, I'm Nicolas Cerisier. I joined Dassault Systems in 2004.

Nicolas Cerisier And I'm now the Vice President of 3D Experience Platform Research and Development. Nicolas Cerisier And you have to know that the 3D Experience Platform is really the foundation for our 12 brands at Dassault Systems. Nicolas Cerisier You know, I think the main brands, CATIA, SolidWorks, Simulia, etc. Nicolas Cerisier And if you don't know us, we enable our customers to imagine, design, simulate, build almost everything in the world.

Nicolas Cerisier Cars, airplanes, autonomous robots, furnitures, electronic device, therapeutics, med devices, etc. Nicolas Cerisier It's 400,000 customers, 45 million users, 15 million scientists and engineers all around the world using our solution every day. Nicolas Cerisier And in fact, we provide our customers the factories to create their virtual twins.

Nicolas Cerisier And what is virtual twins? Nicolas Cerisier It's really the scientific, multidisciplinary, multiscale, virtual plus real representation of the product you want to deliver. Nicolas Cerisier And in fact, we enable a product to be tested in the virtual world, in the real condition, before anything exists in the real world.

Nicolas Cerisier And so today, my focus leading the 3D Experience platform is really to transform our platform architecture into an agentic platform. Nicolas Cerisier And in fact, this is our shift from a SaaS platform, SaaS architecture to an agent as a service platform to bring AI to all our customers. Nicolas Cerisier So much has happened in the world of AI in the past few years and generative AI obviously has been, you know, this touch point that set off large language models and reasoning.

Nicolas Cerisier And now we're talking about agentic systems. Nicolas Cerisier So let's talk about these two terms, virtual companio...

How Dassault Systèmes Is Building AI That Understands Physics - Ep. 296

Transcript

Built for investment professionals

Every day you wait, your competitors are finding
edge in conversations you're not hearing.

How Dassault Systèmes Is Building AI That Understands Physics - Ep. 296

Transcript

Built for investment professionals

Every day you wait, your competitors are findingedge in conversations you're not hearing.

Every day you wait, your competitors are finding
edge in conversations you're not hearing.