Case Study: General Motors accelerates pedestrian safety design with Neural Concept

General Motors cuts pedestrian safety simulation time from weeks to seconds with Neural Concept

General Motors faced the challenge of accelerating vehicle design while meeting strict global pedestrian safety regulations. The traditional process of running countless, resource-intensive crash simulations created a major bottleneck, causing weeks of delays and forcing suboptimal compromises between safety, aerodynamics, and style. To overcome this, General Motors partnered with the vendor Neural Concept to implement an AI-powered solution.

Neural Concept provided an AI co-pilot trained on General Motors' proprietary crash simulation data from 11 vehicle programs. This solution reduced simulation times from weeks to seconds, providing designers with real-time safety insights. The implementation allows for faster, more informed design decisions and is being deployed across engineering workflows to significantly reduce development effort. The collaboration with Neural Concept has enabled General Motors to enhance engineering efficiency and explore design possibilities more rapidly.

General Motors