Case Study: SEAT achieves 95% faster engineering workflows with Synera

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Preview of the SEAT Case Study

SEAT cuts body-in-white workflow time by over 95% with Synera

SEAT, a major Spanish automotive manufacturer, faced the challenge of identifying manufacturability issues too late in the design process. By the time traditional simulation confirmed a component could not be manufactured, the design was locked, making changes extremely costly. To address this, they turned to the Synera platform and its specialist AI agents.

Using Synera's agentic AI for engineering, SEAT moved manufacturability assessment into the design stage. This provided answers while the geometry could still be changed. The solution delivered dramatic results, cutting the time for a critical feasibility assessment from four weeks to just thirty minutes and saving over 95% of the time on other body-in-white workflows. Synera enabled SEAT to break the ceiling on process efficiency, improving both precision and quality.


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