Explore how AI is reshaping design, simulation, and manufacturing across the whole product development lifecycle.
Contact UsWhat makes AI worth paying attention to in engineering is not the hype. It is what happens when teams can move through ideas faster and work through complexity with more clarity.
AI supports design exploration, concept refinement, and more informed engineering decisions earlier in development. It helps teams move through complexity faster while keeping the focus on real design intent.
AI helps teams get more insight from simulation data and use that intelligence to support prediction, validation, and decision-making. We’re not replacing human engineering rigor, but helping teams learn faster and act with greater confidence.
AI supports smarter planning, more responsive operations, and better visibility across manufacturing workflows. Make more informed decisions in environments where timing, coordination, and adaptability really matter.
AI Connect information, improve visibility, and support better coordination across product data, projects, and lifecycle processes. Empower your teams to manage complexity and make better decisions across fully connected, collaborative workflows.
Across our design environment, AI supports practical work in ways that matter to real engineering teams. The opportunity is not just to move faster, but to make decisions with more context. Not to replace human ingenuity, but to augment it.
Concept DevelopmentExplore more directions earlier in the design process and support stronger decision-making at the start of product development.
Design Exploration Evaluate performance-driven ideas with greater speed and more structured engineering context.
Simulation Acceleration Help teams learn, test, and refine faster during validation workflows.
Manufacturing Planning Improve agility in production planning, process optimization, and operational decision-making.
Workflow Coordination Support better visibility and alignment across teams, disciplines, and programs.
Knowledge Access Bring data, expertise, and lifecycle context closer to the people making critical decision
For many teams, the AI conversation begins closest to the design process. CATIA sits where concept generation, design intent, engineering structure, and early product decisions begin to take shape.
With AI in CATIA you can:
The Project
Orchestrator
Aura brings structure to complex product development workflows by connecting project context, requirements, and design changes in one intelligent environment. It helps teams manage evolving inputs, assess the impact of change, and move forward with greater clarity, control, and coordination across the development process.
The Mechanical
Visionary
Leo applies engineering intelligence to the functional side of design. From motion and mechanics to simulation-driven reasoning, it helps teams explore how a product will perform in real conditions. When technical decisions become more complex, Leo supports better design choices through deeper mechanical insight.
The Scientific
Authority
Marie strengthens decision-making with scientifically grounded guidance around materials, standards, and compliance. It helps teams validate requirements, compare options, and align product development with technical and regulatory expectations. For engineers working in demanding environments, Marie adds confidence where precision matters most.
AI is already taking shape across engineering and manufacturing.
If you’re exploring what that could mean for your team, Mecanica can help you connect the bigger picture to practical next steps.
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