How Renault reduces its design time by 30 with Dessia
Renault used Dessia’s AI Design Generation to transform its early design phases. Leveraging AI to integrate functional specifications with 3D architecture, the solution expanded design exploration and minimized costly manual iterations. This agile approach enabled faster technical convergence and enhanced overall engineering performance.
CHALLENGE
Renault needed to cut development time from three to two years by redesigning engineering processes, digitizing development, and increasing parts sharing between vehicles — while facing internal tensions linked to new working methods and restructuring.
SOLUTION
Using Dessia’s AI-Apps, Renault automates the generation and validation of complex subsystem architectures like cooling systems. What once took weeks now takes just one day—accelerating design convergence and helping meet time-to-market goals.
RESULTS
- Architecture generation reduced from several weeks to one day.
- Faster convergence of subsystem designs.
- Overall reduction of vehicle development lead times.
"Using Generative Engineering ("Bots") applications [....], it is possible to produce the same results [...] with a time saving of over 80%, using at least 3 times less resources"
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