
4 good reasons to adopt Generative AI in your engineering strategy
A new era of engineering
Generative AI enables manufacturing companies to create designs, simulations, or documentations in minutes rather than hours, by using patterns learned from existing data. Through intelligent automation and advanced simulation, digital engineers can explore thousands of design options simultaneously, perform virtual tests to identify flaws much earlier and quickly move from concept to prototype.
It’s a shift from reactive to predictive design, where simulation and optimization happen in parallel, enabling companies to make better and faster decisions.
Integrated into tools like CATIA and SIMULIA on the 3DEXPERIENCE platform, generative AI enables engineers to:
- Bring products to market up to 4 times faster*
- Improve reuse of components by up to 80%*
- Cut warranty costs by 10%*
- Explore thousands of design alternatives in minutes
*Source: Dassault Systèmes
How AI can assist in digital engineering
- Design components based on performance requirements
- Explore more options faster
- Simulate product behaviour in real-life scenarios and conditions
- Perform virtual tests before moving into production
- Generate technical documentation and CAD models
- Automate repetitive engineering tasks
- Ensure compliance and quality standards are met
- Optimize material usage and manufacturing processes

AI-Powered Engineering in 3DEXPERIENCE CATIA
Design Faster. Reduce Rework. Control Complexity.
3DEXPERIENCE CATIA integrates generative AI into engineering workflows to support early exploration, reduce manual effort, and maintain control over design data.
How TECHNIA can support your success
As a Dassault Systèmes Platinum Partner, our solutions combine the power of the 3DEXPERIENCE platform with TECHNIA’s deep industry knowledge and experience from having implemented thousands of PLM systems.
We can help you:
- Integrate Generative AI into your existing engineering processes
- Deploy solutions like CATIA and 3DEXPERIENCE tailored to your business needs
- Get custom training and support for engineering teams
- Ensure successful user adoption of AI solutions across your organization
"Generative AI isn’t just a productivity booster - it’s a strategic enabler. Manufacturing companies who act early and take advantage of the power of AI will be the ones leading the development."
- Johannes Storvik, Chief Solution Officer at TECHNIA
.png?width=500&height=500&name=Gen%20AI%20Olivier-2%20(2).png)
OLIVIER SAPPIN
CEO CATIA, DASSAULT SYSTÈMES
"3D UNIV+RSES and AI will profoundly transform engineering work.”- AI and virtual companions enable engineers to be more creative, productive & efficient
- Companies need to invest in core engineering from the concept stage
- Virtual twin technology is key to staying competitive in the market
Learn more
From Pilots to Production: An AI-Ready Stack for Digital Engineering

Organisations don’t buy “AI”; they buy outcomes – fewer errors, faster launches, stronger governance at lower total cost. Across the Nordics and the Netherlands, the challenge isn’t proving AI in a demo; it’s translating promise into day-to-day impact on complex programs with many stakeholders and suppliers.
AI in the 3DEXPERIENCE Platform

The integration of AI into the 3DEXPERIENCE platform marks a significant advancement in how companies work with digital tools. One of the most exciting developments in this area is the introduction of Aura, a voicebot specifically developed for the 3DEXPERIENCE environment. But what exactly is Aura, and how does it work?
Dassault Systèmes Generative AI Strategy Explained

In February 2025, Dassault Systèmes unveiled the “3D UNIV+RSES” strategy, a significant milestone for digital transformation. This vision is based on seven pillars that collectively redefine the use of Artificial Intelligence, virtual twins, and immersive technologies in industry. The goal is to support companies throughout the entire product lifecycle, from initial concept to real-world operation.
A New Engineering Playbook: Generative AI on a Unified Product Backbone

Generative AI shifts digital engineering from reactive iteration to predictive exploration. Anchored to governed product data, teams can explore many more options, validate earlier, and move from concept to prototype in a fraction of the time.