Phase 3: AI Optimization

Automating the Design-Space Exploration through Machine Learning.

Neural Design Evolution

In Phase 3, we move beyond manual iteration. AI models are trained on the simulation results from Phase 2 to autonomously explore the design space, identifying optimal aerodynamic shapes and structural reinforcements that human engineers might overlook.

The Generative Design Cycle:

The AI fabric runs thousands of minor geometric permutations in a "closed loop," automatically validating each against the target performance KPIs (Drag, Lift, Weight). This ensures the final vehicle configuration is mathematically perfect before a single physical component is ever produced.