In automotive development, the most expensive decisions are made earliest - when the least is known. A part that passes structural analysis but fails a formability check at tooling stage can cost 10x more to fix than catching it during concept design. And a design that misses cost targets only reveals the gap at project close.

At the CAE Grand Challenge, Synera demonstrates how AI agents change this: by running formability, stamping, and cost analyses automatically - in parallel with your existing CAE workflows - so engineers get the full picture at every step, not just at the end.