From legacy iteration to AI-first generative design
The past: start from known templates and nudge. The future: generate novel architectures with constraints baked in.
Problem — the bottlenecks
- Manual iteration over decades-old starting forms
- Limited exploration under time/budget constraints
- Late discovery of tolerance / manufacturability issues
Solution — human–AI teaming
- Diffusion/transformer search over design spaces
- Expert curation + constraint-aware objectives
- Tolerance and supplier constraints in-loop
Workflow at a glance
- Define mission & constraints (SWaP, MTF, Strehl, envelope)
- AI proposes families of feasible designs
- Engineer selects candidates; refine with physics/tolerances
- Converge to manufacturable design; lock vendor options