Dassault Systèmes delivers Artificial Intelligence (AI)-driven solutions tailored to industry datasets so businesses can automate processes, optimize decision-making and accelerate innovation.
AI software provides new abilities and automates complex tasks such as predictive analytics, image recognition and natural language processing (NLP). Dassault Systèmes' AI solutions integrate machine learning, data analysis and domain expertise to unlock business value, improve operational efficiency and enhance product and process performance.
Our approach relies on two complementary pillars: solutions that embed AI directly — such as MODSIM and generative design — and virtual companions that connect representations with real-world observations to learn, understand and act.
Artificial intelligence has grown from a theoretical idea – how to mimic human intelligence to solve complex issues and find new kinds of answers – into one of the most powerful forces shaping today’s economy and society. Over more than seventy years of research and innovation, AI has advanced through distinct waves of discovery and continues to open new possibilities for industry.
In 1950, Alan Turing asked, “Can machines think?” and proposed the Turing Test to measure machine intelligence. Only a few years later, in 1956, John McCarthy coined the term artificial intelligence at the Dartmouth Conference. Early AI focused on symbolic reasoning—programs that followed logical rules to address and solve problems—but limited computing power and overly optimistic expectations slowed progress.
Research shifted toward expert systems designed to capture human expertise in narrow fields. While successful in specific tasks, they were expensive to build and maintain. Funding and interest declined in what became known as the AI winters, as the technology struggled to meet early promises.
With more powerful computers and the emergence of massive datasets, machine-learning techniques—algorithms that learn patterns from data without explicit programming—began to thrive. Neural networks gained traction, enabling predictive analytics and more accurate decision-making across industries.
Multilayered deep neural networks dramatically improved performance in image recognition, natural language processing and speech understanding. Landmark moments included IBM’s Watson winning Jeopardy! in 2011 and DeepMind’s AlphaGo defeating the world champion of the game Go in 2016, proving AI’s ability to handle extraordinarily complex problems.
Generative models now create original text, images, video and audio at scale. Transformers and large language models (LLMs) such as ChatGPT and other multimodal systems can handle complex requests in natural language and provide ultra-fast answers across many types of data, generating any kind of output. This new class of AI is driving measurable business gains, from faster product design cycles to significant reductions in time-to-market.
Research is rapidly moving toward explainable AI, federated learning, agentic AI and quantum-enhanced algorithms—technologies that promise more transparent, secure and autonomous systems.
Building on these global advances, Dassault Systèmes combines AI with science-based solutions. This enables organizations to experiment, learn and innovate by combining modeling, simulation, data science and AI-generated content in secure industry environments. By connecting real-world observations and inputs with virtual representations and models, we turn data into validated knowledge and operational know-how, helping companies cut development time and accelerate sustainable innovation. Because we provide science-based space to understand, experiment and learn, we make AI and generativity trustworthy.
AI analyzes vast amounts of data to identify patterns and trends, providing actionable insights that support faster, more accurate decisions across all levels of an organization.
AI platforms automate repetitive, time-consuming tasks, allowing employees to focus on higher-value activities that drive growth.
AI software cuts the risk of manual errors by automating data entry and processing, ensuring reliable business operations.
AI tools process and analyze large volumes of data, allowing organizations to extract insights and act on them more quickly and precisely.
Transform operational and clinical data into trusted insights. By turning diverse data streams into reliable evidence, RWE helps organizations make faster, safer decisions and meet regulatory requirements with confidence.
Connect 2D and 3D models, real-world data, text and more within a single semantic framework. This shared "language of data" eliminates silos, improves collaboration and ensures end-to-end traceability.
Capture the expertise of people, processes and past projects and turn it into AI-powered guidance. Combined with Virtual Twin Experiences, this creates a continuous cycle of learning and improvement that scales operational excellence.
At Dassault Systèmes, our approach to AI is built on Industrial AI — an AI rooted in real-world industry practices, scientific knowledge and decades of engineering expertise, rather than generic, general-purpose intelligence. Industrial AI is secure, sovereign, traceable and science-based, generating reliable, context-aware representations of real-world objects and processes, including their interactions across the entire lifecycle.
Industry AI gathers a sovereign and science-based AI with a human-centric and knowledge-driven approach. It is orchestration-focused by powering a model-based, service-oriented enterprise, reshaping value creation continuously.
AI software strengthens critical business functions by automating processes, improving decision-making and driving efficiency across industries — from customer support to predictive analytics and product design.
Validating design and engineering decisions through physical trial-and-error prototyping alone is slow, costly and limits the number of options teams can realistically test.
Customer service teams struggle to keep response times low while handling growing volumes of repetitive queries, which raises cost and risks a weaker customer experience.
NLP has transformed customer support with efficient, personalized interactions: AI-powered chatbots and virtual assistants handle queries in real time, while sentiment analysis helps businesses improve their service. Solutions such as NETVIBES Proxem Studio apply natural language understanding to route, analyze and resolve customer requests faster.
Unplanned equipment failure and inaccurate demand forecasts drive up downtime, inventory cost and lost sales across manufacturing and retail.
Machine learning analyzes historical data to forecast customer behavior and equipment health, so organizations can act before a problem occurs. DELMIA and SIMULIA combine predictive analytics, operational intelligence and simulation to turn asset and market data into proactive strategies that cut downtime and reduce risk.
Manual visual inspection is slow, inconsistent and hard to scale across large retail networks or high-volume production lines.
Computer vision lets machines interpret images and video with human-like accuracy, powering cashier-less stores and shelf monitoring in retail while improving quality control in manufacturing. 3DEXCITE generates product-accurate synthetic imagery that trains and validates these vision models faster, without waiting on real-world photo shoots.
Exploring every viable design option by hand is too slow when products must meet tighter cost, weight and sustainability constraints at the same time.
Generative design generates thousands of design variations against engineering constraints, surfacing options a human team would not have time to test manually. CATIA combines AI-driven design with knowledge-based engineering to turn those variations into manufacturable, validated parts.
Virtual Twin technology uses AI to create accurate digital representations of physical products and processes. This allows teams to simulate and optimize before committing resources in the real world, improving performance and supporting sustainability goals at the same time.
Continuous investment in AI research and development delivers solutions for complex, industry-specific challenges.
We prioritize data security, compliance and responsible AI practices, ensuring fairness, transparency and trust. We ensure the intellectual property protection of all our customers.
Our AI models are trained on real-world industry datasets, providing more accurate and actionable sovereign and science-based insights.
Predictive analytics, eco-design and virtual twins help businesses optimize resources and reduce environmental impact.
Explore the content below to learn more about Dassault Systèmes and Artificial Intelligence.
Digital transformation, artificial intelligence, IoT and deep learning provide opportunities for manufacturers to reinvent the way they think and operate.
Corporate Reports
Our science-based virtual twins combine data science, industry know-how, modeling and simulation boosted by AI, and are helping to form the Generative Economy
Corporate Reports
Dassault Systèmes and Volkswagen Group today announced a long-term partnership to advance Volkswagen Group’s digital infrastructure for state-of-the-art vehicle development by implementing Dassault Systèmes’ 3DEXPERIENCE platform.
Press Release
February 4, 2025
Fill in the form to have a Dassault Systèmes expert contact you to answer your questions and discuss any of your needs.
Let’s transform your journey together—contact us today!
