[{"data":1,"prerenderedAt":119},["ShallowReactive",2],{"V1zIBc-x6f2HvSfBAo-l3a0bb_LiGOlrMRblhwFWkQ8":3,"_apollo:default":117,"_apollo:identified":118},{"allSettings":4,"seo":10,"posts":21},{"customSettings":5,"__typename":9},{"urlFront":6,"urlPreview":7,"__typename":8},"https:\u002F\u002Fblog.3ds.com","https:\u002F\u002Fblog-build-prd.itvpc.3ds.com","CustomSettings","Settings",{"social":11,"openGraph":17,"__typename":20},{"twitter":12,"__typename":16},{"cardType":13,"username":14,"__typename":15},"summary_large_image","dassault3ds","SEOSocialTwitter","SEOSocial",{"defaultImage":18,"__typename":19},null,"SEOOpenGraph","SEOConfig",{"nodes":22,"__typename":116},[23],{"id":24,"slug":25,"title":26,"uri":27,"excerpt":28,"locale":29,"featuredImage":32,"tableOfContents":40,"content":47,"date":48,"translations":49,"author":50,"topics":63,"globalTags":83,"brands":95,"keywords":98,"seo":104,"__typename":115},"cG9zdDozMTcxOTA=","long-running-agents","Co-Creating with AURA, LEO and MARIE: Dassault Systèmes’ Long-Running Virtual Companions","\u002Ftopics\u002Fcompany-news\u002Flong-running-agents","\u003Cp>How Dassault Systèmes’ long-running agents turn intelligence into action on the 3DEXPERIENCE agentic platform, leveraging NVIDIA technologies.\u003C\u002Fp>\n",{"locale":30,"__typename":31},"en_US","Locale",{"node":33,"__typename":39},{"large":34,"__typename":35,"medium_large":34,"thumbnail":36,"srcSet":37,"sizes":38},"https:\u002F\u002Fblog-assets.3ds.com\u002Fuploads\u002F2026\u002F10\u002Flong-running-agent-hero.jpg","MediaItem","https:\u002F\u002Fblog-assets.3ds.com\u002Fuploads\u002F2026\u002F10\u002Flong-running-agent-hero-150x150.jpg","https:\u002F\u002Fblog-assets.3ds.com\u002Fuploads\u002F2026\u002F10\u002Flong-running-agent-hero-300x215.jpg 300w, https:\u002F\u002Fblog-assets.3ds.com\u002Fuploads\u002F2026\u002F10\u002Flong-running-agent-hero.jpg 580w","(max-width: 300px) 100vw, 300px","NodeWithFeaturedImageToMediaItemConnectionEdge",[41,42,43,44,45,46],"From Answering Questions to Carrying Out Missions|from-answering-questions-to-carrying-out-missions-0","What Makes a Virtual Companion a Long-Running Agent?|what-makes-a-virtual-companion-a-long-running-agent-1","Industrial Intelligence Grounded in Science|industrial-intelligence-grounded-in-science-2","The 3DEXPERIENCE Agentic Platform: Orchestrating Intelligence and Execution|the-3dexperience-agentic-platform-orchestrating-intelligence-and-execution-3","Accelerating Supporting Long-Running Industrial Agents with NVIDIA Technologies|accelerating-supporting-long-running-industrial-agents-with-nvidia-technologies-4","Related Resources on Industrial AI|related-resources-on-industrial-ai-5","\n\u003Cp>We’re on the threshold of a fundamental shift in how humans interact with software: from operating applications to co-creating with agents. \u003C\u002Fp>\n\n\n\n\u003Cp>Developing a product, resolving an engineering challenge or investigating a scientific hypothesis requires a sequence of decisions and actions. Requirements evolve. Simulations reveal new constraints, and each result drives what happens next.\u003C\u002Fp>\n\n\n\n\u003Cp>AURA, LEO and MARIE, Dassault Systèmes’ autonomous, long-running and self-evolving \u003Ca href=\"https:\u002F\u002Fwww.3ds.com\u002Findustrial-ai\u002Fvirtual-companions\">Virtual Companions\u003C\u002Fa>, are designed for this way of working. Operating on the \u003Cstrong>3D\u003C\u002Fstrong>EXPERIENCE agentic platform, they reason, plan and act across evolving missions, co-creating and co-operating with users to address complex industrial challenges.\u003C\u002Fp>\n\n\n\n\u003Cp>Virtual Companions transform the intelligence of \u003Ca href=\"https:\u002F\u002Fblog.3ds.com\u002Ftopics\u002Fcompany-news\u002Fdassault-systemes-nvidia-partnership-explained\u002F\">Industry World Models\u003C\u002Fa> into actions. Each brings complementary expertise:\u003C\u002Fp>\n\n\n\n\u003Cul class=\"wp-block-list\">\n\u003Cli>AURA, the business expert, co-creates with business leaders and project managers to turn business objectives into executable plans and measurable outcomes.\u003C\u002Fli>\n\n\n\n\u003Cli>LEO, the engineer, co-engineers with designers and simulation experts to turn ideas into manufacturable, high-performance products.\u003C\u002Fli>\n\n\n\n\u003Cli>MARIE, the scientist, co-creates with scientists and researchers to turn scientific hypotheses into discoveries and innovations\u003C\u002Fli>\n\u003C\u002Ful>\n\n\n\n\u003Cfigure class=\"wp-block-image size-full\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"480\" height=\"222\" src=\"https:\u002F\u002Fblog-assets.3ds.com\u002Fuploads\u002F2026\u002F03\u002Fvirtual-companions-for-blog.png\" alt=\"Meet Dassault Systemes' virtual companions: Aura, Leo and Marie - long-running agents - Dassault Systemes blog\" class=\"wp-image-300554\" srcset=\"https:\u002F\u002Fblog-assets.3ds.com\u002Fuploads\u002F2026\u002F03\u002Fvirtual-companions-for-blog.png 480w, https:\u002F\u002Fblog-assets.3ds.com\u002Fuploads\u002F2026\u002F03\u002Fvirtual-companions-for-blog-300x139.png 300w\" sizes=\"auto, (max-width: 480px) 100vw, 480px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Ch2 class=\"wp-block-heading\" id=\"from-answering-questions-to-carrying-out-missions-0\">\u003Cstrong>From Answering Questions to Carrying Out Missions\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>The difference between a conversational assistant and a Virtual Companion is not simply how well it answers a question. It is how it turns an objective into an outcome.\u003C\u002Fp>\n\n\n\n\u003Cp>Each Virtual Companion brings competencies—a structured set of skills that guide users, reveal insights and execute relevant work across business, product design, engineering, simulation, manufacturing and operations.\u003C\u002Fp>\n\n\n\n\u003Cp>By co-creating with a Virtual Companion, users extend their capabilities, explore more alternatives in less time and turn ideas into actionable outcomes.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\" id=\"what-makes-a-virtual-companion-a-long-running-agent-1\">\u003Cstrong>What Makes a Virtual Companion a Long-Running Agent?\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>“Long-running” describes more than the duration of an agent’s execution. It describes its ability to maintain continuity across a mission in a changing industrial environment —reconciling the objective, the plan and the results as the work unfolds.\u003C\u002Fp>\n\n\n\n\u003Cp>To carry that mission forward, autonomous Virtual Companions rely on five defining characteristics:\u003C\u002Fp>\n\n\n\n\u003Cul class=\"wp-block-list\">\n\u003Cli>Mission-driven execution. Virtual Companions work toward an objective, rather than waiting for a separate instruction for every task.\u003C\u002Fli>\n\n\n\n\u003Cli>Planning and orchestration. They translate high-level objectives into an executable plan and coordinate the relevant skills, agents and human experts.\u003C\u002Fli>\n\n\n\n\u003Cli>Adaptation. They update the plan in response to execution results or changes in the industrial context.\u003C\u002Fli>\n\n\n\n\u003Cli>Human oversight. They involve users at meaningful decision points to review alternatives, validate outcomes and redirect the work, preserving human accountability.\u003C\u002Fli>\n\n\n\n\u003Cli>Knowledge capitalization. They capture interactions, corrections and completed work, then leverage that experience in future missions to continuously refine how they work —making them self-evolving.\u003C\u002Fli>\n\u003C\u002Ful>\n\n\n\n\u003Ch2 class=\"wp-block-heading\" id=\"industrial-intelligence-grounded-in-science-2\">\u003Cstrong>Industrial Intelligence Grounded in Science\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>To act effectively over time, an agent must understand its \u003Cstrong>industrial context\u003C\u002Fstrong>.\u003C\u002Fp>\n\n\n\n\u003Cp>Dassault Systèmes’ Industry World Models provide that industrial intelligence. They combine:\u003C\u002Fp>\n\n\n\n\u003Col start=\"1\" class=\"wp-block-list\">\n\u003Cli>Science: Physics, the laws of physics and their application across disciplines, such as thermodynamics, fluid mechanics, mechanics, electromagnetism and aerodynamics … but also chemistry, materials science and biology.\u003C\u002Fli>\n\n\n\n\u003Cli>More than 40 years of industrial knowledge and know-how developed with our customers.\u003C\u002Fli>\n\n\n\n\u003Cli>Reasoning: This ability to understand objectives, activate relevant knowledge, orchestrate actions and generate solutions.\u003C\u002Fli>\n\u003C\u002Fol>\n\n\n\n\u003Ch2 class=\"wp-block-heading\" id=\"the-3dexperience-agentic-platform-orchestrating-intelligence-and-execution-3\">\u003Cstrong>The 3D\u003C\u002Fstrong>EXPERIENCE \u003Cstrong>Agentic Platform: Orchestrating Intelligence and Execution\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>The \u003Cstrong>3D\u003C\u002Fstrong>EXPERIENCE platform is becoming an Agent-as-a-Service platform with the \u003Cstrong>3D\u003C\u002Fstrong>EXPERIENCE \u003Cstrong>agentic platform\u003C\u002Fstrong>. It provides a secure environment for orchestrating our Virtual Companions, leveraging NVIDIA technologies. \u003C\u002Fp>\n\n\n\n\u003Cp>The \u003Cstrong>3D\u003C\u002Fstrong>EXPERIENCE agentic platform, relying on the sovereign \u003Ca href=\"https:\u002F\u002Fwww.3ds.com\u002Fproducts\u002Foutscale\">OUTSCALE\u003C\u002Fa> AI Factories is the place where Industry World Models are operated and Virtual Companion competencies are orchestrated.\u003C\u002Fp>\n\n\n\n\u003Cp>The \u003Cstrong>3D\u003C\u002Fstrong>EXPERIENCE agentic platform enables horizontal openness by design. Through open agentic standards (A2A), it supports collaboration with third-party agents across enterprise systems, including ERP, CRM and other PLM platforms. Industrial missions can therefore be coordinated across a broader enterprise environment, rather than remaining confined to a single application.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\" id=\"accelerating-supporting-long-running-industrial-agents-with-nvidia-technologies-4\">\u003Cstrong>Accelerating Supporting Long-Running Industrial Agents with NVIDIA Technologies\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>Dassault Systèmes’ \u003Ca href=\"https:\u002F\u002Fwww.nvidia.com\u002Fen-us\u002Fcase-studies\u002Fdassault-systemes\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">collaboration\u003C\u002Fa> with \u003Ca href=\"https:\u002F\u002Fblogs.nvidia.com\u002Fblog\u002Feurope-industrial-leaders-engineering-manufacturing\" target=\"_blank\" rel=\"noreferrer noopener\">NVIDIA\u003C\u002Fa> brings complementary technologies to this architecture: reasoning models, agent optimization and controlled execution.\u003C\u002Fp>\n\n\n\n\u003Cp>Dassault Systèmes combines \u003Ca href=\"https:\u002F\u002Fblogs.nvidia.com\u002Fblog\u002Fopen-models-europe-industry\" target=\"_blank\" rel=\"noreferrer noopener\">\u003Cstrong>NVIDIA Nemotron\u003C\u002Fstrong> open models\u003C\u002Fa> with its Industry World Models to connect AI reasoning with deep industrial context.\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fwww.nvidia.com\u002Fen-us\u002Fai-data-science\u002Fproducts\u002Fnemo\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">\u003Cstrong>NVIDIA NeMo\u003C\u002Fstrong>\u003C\u002Fa> enables continuous agent specialization, optimization and evaluation—values that matter for repeatable industrial execution.\u003C\u002Fp>\n\n\n\n\u003Cp>Dassault Systèmes is also using \u003Ca href=\"https:\u002F\u002Fnvidianews.nvidia.com\u002Fnews\u002Fopenshell-reference-architecture\" target=\"_blank\" rel=\"noreferrer noopener\">\u003Cstrong>NVIDIA OpenShell\u003C\u002Fstrong>\u003C\u002Fa>, a secure runtime \u003Cstrong>which governs \u003C\u002Fstrong>long-running autonomous agents. This control helps support sustained execution within defined boundaries and is part of the new NVIDIA OpenShell Reference Architecture.\u003C\u002Fp>\n\n\n\n\u003Cp>These technologies play distinct roles. NVIDIA contributes models, optimization capabilities, execution controls and accelerated tools. Dassault Systèmes contributes the science-grounded representations, industry driven knowledge, customer know-how and agentic orchestration that make them relevant to industrial missions.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\" id=\"related-resources-on-industrial-ai-5\">Related Resources on Industrial AI\u003C\u002Fh2>\n\n\n\n\u003Cul class=\"wp-block-list\">\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fblog.3ds.com\u002Ftopics\u002Fcompany-news\u002F3dxw26-day-1-recap-ais-the-engine-were-the-drivers\u002F\">AI is the engine. We’re the drivers \u003C\u002Fa>\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fblog.3ds.com\u002Fbrands\u002Fsimulia\u002Fhow-simulation-ai-combine-power-virtual-twins\u002F\">How simulation and AI combine to power virtual twins \u003C\u002Fa>\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fwww.3ds.com\u002Fpartners\u002Fstrategic-partnerships\u002Fnvidia\">Explaining the Dassault Systèmes-NVIDIA strategic partnership\u003C\u002Fa>\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fblog.3ds.com\u002Ftopics\u002Fcompany-news\u002Fdassault-systemes-nvidia-partnership-explained\u002F\">Introducing Industry World Models \u003C\u002Fa>\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fblog.3ds.com\u002Ftopics\u002Fcompany-news\u002Fhow-dassault-systemes-is-building-tomorrows-business-with-ai-in-2025\u002F\">How Dassault Systèmes is building tomorrow’s business with AI\u003C\u002Fa>\u003C\u002Fli>\n\u003C\u002Ful>\n\n\n\n\u003Cp>\u003C\u002Fp>\n","2026-10-21T15:00:00",[],{"node":51,"__typename":62},{"nicename":52,"description":53,"slug":54,"name":54,"firstName":55,"lastName":56,"avatar":57,"__typename":61},"nicolas-cerisier|hubert-masson","Nicolas Cerisier is vice president, 3DEXPERIENCE Platform R&D at Dassault Systèmes. In this role, he is leading transformation of the 3DEXPERIENCE platform to an Agent-as-a-Service platform.|Hubert Masson is the 3DEXPERIENCE Platform 3DSwym Senior Director at Dassault Systèmes.","Nicolas Cerisier|Hubert Masson","Nicolas|Hubert","Cerisier|Masson",{"default":58,"url":59,"__typename":60},"mm","https:\u002F\u002Fblog-assets.3ds.com\u002Fuploads\u002F2026\u002F05\u002Fnicolas-cersier-profile-photo-96x96.jpeg|https:\u002F\u002Fblog-assets.3ds.com\u002Fuploads\u002F2026\u002F10\u002Fcropped-hubert-masson-headshot-96x96.png","Avatar","User","NodeWithAuthorToUserConnectionEdge",{"edges":64,"nodes":78,"__typename":82},[65],{"isPrimary":66,"node":67,"__typename":77},true,{"slug":68,"name":69,"topics":70,"__typename":76},"company-news","Company News",{"nodes":71,"__typename":75},[72],{"translations":73,"__typename":74},[],"Topic","Taxonomy_topicToTopicConnection","Taxonomy_topic","PostToTaxonomy_topicConnectionEdge",[79],{"id":80,"name":69,"slug":68,"uri":81,"__typename":76},"dGVybTo4NTUz","\u002Ftopics\u002Fcompany-news\u002F","PostToTaxonomy_topicConnection",{"nodes":84,"__typename":94},[85,90],{"id":86,"name":87,"uri":88,"__typename":89},"dGVybTo4ODM0","3DEXPERIENCE platform","\u002Ftags\u002F3dexperience-platform\u002F","Taxonomy_tag",{"id":91,"name":92,"uri":93,"__typename":89},"dGVybTo4ODMy","AI","\u002Ftags\u002Fai\u002F","PostToTaxonomy_tagConnection",{"nodes":96,"__typename":97},[],"PostToTaxonomy_brandConnection",{"nodes":99,"__typename":103},[100],{"name":101,"__typename":102},"SPARK","Taxonomy_keyword","PostToTaxonomy_keywordConnection",{"canonical":105,"title":106,"metaDesc":107,"opengraphAuthor":108,"opengraphDescription":107,"opengraphTitle":26,"opengraphUrl":105,"opengraphSiteName":109,"opengraphPublishedTime":110,"opengraphModifiedTime":111,"twitterTitle":108,"twitterDescription":108,"readingTime":112,"metaRobotsNoindex":113,"__typename":114},"https:\u002F\u002Fblog-frontoffice-contrib-prd.itvpc.3ds.com\u002Ftopics\u002Fcompany-news\u002Flong-running-agents\u002F","Dassault Systèmes’ Long-Running Agents- Dassault Systèmes blog","Learn how Dassault Systèmes’ long-running agents turn intelligence into action on the 3DEXPERIENCE agentic platform.","","Dassault Systèmes blog","2026-10-21T15:00:00+00:00","2026-10-21T15:24:35+00:00",4,"index","PostTypeSEO","Post","RootQueryToPostConnection",{},{},1794259549737]