AI for Mechanical Component Design

AI for Mechanical Component Design combines industrial AI and engineering knowledge to improve how mechanical components are designed and validated. It helps you work:

• Faster: Bring your enterprise rules, best practices, templates and standards into one place to automate tasks with AI.
• Better: Evaluate performance across functions, physics, manufacturing and sustainability in the same design cycle.
• Easier: Capture engineering expertise in intelligent, reusable models that teams can configure and validate by interacting with LEO, our Virtual Companion.

You can use AI for Mechanical Component Design across your mechanical design workflows — from responding to RFPs and turning requirements into designs to validating concepts and adapting components for different configurations.

CATIA V5 is a standalone tool for designing mechanical components and parts. Transitioning from CATIA V5 to CATIA on the 3DEXPERIENCE platform gives you access to advanced modeling technologies such as resilient modeling, modules and advanced scripting — creating the foundation for more efficient AI-enabled engineering.

You can take this further by integrating CATIA with industrial AI on a unified cloud platform to create AI-ready intelligent models that capture component configurations and physics validation. Rookie designers and project managers alike can then chat with LEO, our Virtual Companion, to adapt and validate the parametric model against new specifications.

Your data is hosted in the geographic region and cloud operating model selected for your service, based on your regulatory requirements, sovereignty expectations and sensitive data protection needs. Depending on the offering, this may include a public cloud, private cloud or dedicated cloud environment deployment.

The Virtual Companions’ intensive computations run in dedicated AI factories. All data exchanges are encrypted and protected through continuous network monitoring, identity and access controls and threat detection.

Where supported by the service architecture, data used for AI computation is processed transiently and is not retained in the AI factory after processing. These technical and architectural safeguards protect your data throughout its lifecycle. Applicable certifications and hosting conditions are specified for each service and region.

No. Your engineering data remains your property. Our Virtual Companions consult your patrimony (data, design rules, history) to assist you, but it’s never used to train a shared model. If you choose to specialize a model with your data, the result lives exclusively within your own environment.

Every result is grounded in physics-based and science-based models — figures like stresses, tolerances and safety margins are calculated, not simply estimated, by a statistical model. Every step of a Virtual Companion's reasoning is also documented and available for review, making each result verifiable and auditable.

By combining our engineering rules, documentation and best practices with your company’s own standards, checks and recommendations, Virtual Companions apply both our industrial knowledge and your engineering expertise to produce results aligned with the way you engineer.

Contact us through the form below. An expert will evaluate your engineering needs and determine whether a 3-month, outcome-driven pilot program is right for you. Together, you’ll explore new AI capabilities, apply them to your own data and workflows and see their impact firsthand on your existing processes. Along the way, you’ll also build reusable assets – from examples and use cases to templates and scripts – that you can continue developing beyond the pilot program.