FEATURE
Meet the Virtual Companions
AURA – Supports programme management by coordinating complex industrial projects, monitoring progress and helping teams align technical objectives with business priorities. LEO – Assists engineering teams with product design, simulation, optimisation and technical development while supporting informed engineering decisions throughout the product lifecycle. MARIE – Focuses on bioscience and scientific workflows, helping researchers analyse complex information, accelerate discoveries and improve collaboration across multidisciplinary research environments.
Together, AURA, LEO and MARIE provide 19 specialist competencies designed to complement human expertise across engineering, manufacturing, simulation and scientific innovation.
industrial-scale AI capabilities while protecting sensitive corporate information, engineering intellectual property and valuable research data.
For many manufacturers, these safeguards are essential because industrial AI frequently interacts with confidential product designs, proprietary manufacturing techniques and commercially sensitive operational information. Building trust therefore becomes just as important as delivering intelligence. By integrating AI within a secure industrial cloud environment, Dassault Systèmes aims to remove one of the most significant barriers preventing wider enterprise adoption of advanced artificial intelligence technologies. This secure architecture also enables organisations operating in highly regulated industries to embrace AI without compromising governance, compliance or data sovereignty requirements.
Pascal Daloz, Chief Executive Officer and Chairman of Dassault Systèmes, believes the latest announcement represents the next stage in the evolution of digital engineering.
He said Virtual Twin Factories will combine Virtual Companions working alongside people, highly automated Generative Experiences and Virtual Twin as a Service to create comprehensive digital environments supporting industrial innovation from concept through production and ongoing operations.
Manufacturers today face unprecedented challenges. Product complexity continues to increase as connected technologies, sustainability requirements and regulatory expectations become more demanding. Development cycles continue to shorten while customers expect greater customisation and higher quality. Engineering teams must therefore process enormous volumes of technical information without sacrificing innovation, safety or compliance.
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