AI for Physics-Driven Design

AI for Physics-Driven Design combines industrial AI with validated physics-based simulation to bring performance insights earlier in the conceptual design phase.

AI can improve your designs by expanding the range of possibilities you can investigate. It helps you predict performance, quickly evaluate alternatives and identify high-performing concepts earlier in the development process.

Before committing to detailed design and engineering, you can already make physics-informed decisions and find the most optimized design.

For the consumer packaged goods and retail industry: Go beyond Adobe Photoshop or Illustrator by bringing industrial design and AI to the earliest stages of concept development. Complement your existing design tools by connecting designs to physics-based simulation, powered by AI and machine learning (ML) capabilities. Rapidly assess performance and manufacturability across more concepts before committing to detailed design.

For the transportation and mobility industry: Use AI for industry to evaluate multiple design parameters and their impact on product performance, without working through each alternative separately in isolated modeling and simulation tools. Explore a wider design space and quickly identify configurations that meet your performance KPIs.

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.

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. 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 such as stresses, tolerances and safety margins are calculated, not simply estimated, by a statistical model. Our industry-proven simulation tools, including Abaqus, have been trusted across industries for more than 50 years, providing the foundation for these models.

Enterprise-grade traceability, built in through direct integration with IP management, gives your organization full transparency into the data your AI was trained on and why its results can be trusted.

Contact us through the form below. An expert will evaluate your design 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.