Dassault Systèmes Deploys AI 'Co-Workers' for the Factory of the Future

VÉLIZY-VILLACOUBLAY, France – July 23, 2026 – Dassault Systèmes, a long-standing pioneer in virtual design and product lifecycle management, today took a significant step toward redefining industrial innovation by launching a suite of AI-powered 'Virtual Companions' on its 3DEXPERIENCE platform. The announcement signals a strategic shift from AI as a passive tool to AI as an active collaborator, aiming to drastically shorten the complex journey from initial concept to commercial success.

The French software powerhouse introduced three distinct AI agents—AURA for program management, LEO for complex engineering, and MARIE for deep science—designed to work alongside human teams. This initiative is the cornerstone of a broader vision articulated by CEO and Chairman Pascal Daloz: the creation of 'Virtual Twin Factories.'

“As Virtual Twins are mission-critical and well-accepted in all industries, we are revealing the future of our Virtual Twin Factories,” Daloz stated. He described these next-generation environments as a convergence of “Virtual Companions as workers on par with humans, Generative Experiences as highly automated processes, and Virtual Twin as a Service as predefined Industry world models.” For business leaders and investors, this isn't just a technological upgrade; it's a blueprint for a new industrial operating system where the path from prototype to profit is fundamentally re-architected for speed, efficiency, and security.

The Dawn of the AI Co-Worker

At the heart of the announcement are the Virtual Companions, which are far more than the generic chatbots that have saturated the market. Infused with 19 distinct competencies, AURA, LEO, and MARIE are designed as 'agentic' AIs, capable of understanding industrial context, reasoning through complex problems, and executing tasks. They operate on what the company calls 'Industry World Models'—a fusion of AI, scientific principles, and decades of industry-specific knowledge—ensuring that their outputs are not just computationally generated but are grounded in the laws of physics and engineering reality.

Each companion serves a specialized role, augmenting its human counterparts:

• AURA, the Orchestrator: Functions as a project's connective tissue, navigating complex program requirements, tracking changes, and providing real-time risk analysis. By using natural language to generate structured plans and even perform sentiment analysis on project performance, AURA aims to eliminate the information silos and misalignments that frequently derail large-scale development programs.

• LEO, the Engineer: Tackles cross-disciplinary engineering challenges. In a compelling demonstration, LEO was shown analyzing a simple 2D PDF drawing, instantly converting it into a fully editable 3D parametric model, and then running a real-time Finite Element Analysis (FEA) on the design. This single workflow, which could traditionally take days, was completed in minutes, promising a potential tenfold acceleration in design cycles. This capability directly impacts the speed and cost of prototyping, a critical milestone on the path to commercialization.

• MARIE, the Scientist: Provides deep expertise in materials science and chemistry, helping research teams formulate new hypotheses and explore novel compounds and therapies. By democratizing access to complex scientific knowledge, MARIE enables companies to innovate at the molecular level, accelerating the discovery phase for new products.

Building the Factory of the Future, Virtually

The 'Virtual Twin Factories' concept represents the ecosystem where these AI companions will operate. It's an ambitious evolution beyond the now-common digital twin, creating a holistic virtual environment where entire industrial processes are modeled, simulated, and optimized before a single physical component is produced. This ecosystem rests on three pillars: the Virtual Companions as the workforce, 'Generative Experiences' as automated processes, and 'Virtual Twin as a Service' to ensure scalability.

While details on 'Generative Experiences' are emerging, they represent highly automated, AI-driven workflows for design generation and process optimization. This allows manufacturers to cycle through millions of design variations or production scenarios to find the most efficient, cost-effective, and sustainable solution. The third pillar, 'Virtual Twin as a Service,' offers predefined, industry-specific world models, allowing companies to deploy these advanced capabilities without the prohibitive cost and time of building them from scratch. This service-based model is key to democratizing access and accelerating adoption across small and medium-sized enterprises.

The commercial implications are profound. Industry analysis suggests that such integrated cloud-based collaboration can lead to up to 50% shorter prototyping lead times and 20% to 30% time savings. For manufacturers, this translates directly to a shorter delivery cycle—by as much as 30%—providing a formidable competitive advantage in a fast-moving global market.

Securing the Crown Jewels: Sovereign AI as a Competitive Edge

Perhaps one of the most critical, yet understated, aspects of the announcement is the infrastructure underpinning this new AI-native platform. Dassault Systèmes has deliberately chosen to run its Virtual Companions on AI factories from OUTSCALE, its own global cloud operator. This is not merely a technical choice; it is a strategic one rooted in the paramount importance of data security and intellectual property (IP) protection.

The use of OUTSCALE's sovereign infrastructure ensures that all customer data—from sensitive R&D designs to proprietary manufacturing processes—remains fully protected within specific geographical jurisdictions, shielded from foreign access under extraterritorial laws. For companies in aerospace, defense, life sciences, and other highly regulated sectors, this is non-negotiable. It addresses the single largest barrier to the adoption of cloud-based AI for mission-critical applications: the fear of IP leakage. By providing industrial-grade AI within a secure, sovereign environment, the company is offering a trusted platform for innovation, turning data security from a liability into a commercial enabler.

A New Industrial Blueprint

Dassault Systèmes' strategy carves out a distinct position in a competitive landscape that includes industrial giants like Siemens, PTC, and Autodesk. While competitors are also integrating AI, the emphasis here on 'science-based AI' and 'physics-grounded intelligence' is a key differentiator. The explicit goal is to prevent the AI 'hallucinations' that can produce nonsensical or physically impossible results, a critical requirement for engineering applications where failure is not an option. This scientific rigor is further bolstered by a strategic partnership with NVIDIA to create shared, science-validated industry World Models.

By combining agentic AI co-workers, a holistic virtual factory ecosystem, and a secure sovereign cloud, the company is not just launching a new product. It is rolling out a comprehensive strategy for what it calls the 'Generative Economy'—an era where virtual innovation directly and seamlessly drives real-world commercial outcomes. This move provides a clear vision for how industries can harness AI not just for incremental efficiency gains, but to fundamentally transform how they bring profitable innovations to market.