The Problem
Reef restoration today uses generic shapes that ignore site-specific factors like coral species, currents, depth and substrate. Manual design is slow, expert-dependent, and rarely optimal for ecological goals.
How It Works
REEFAGEN is a generative AI design system that turns site data and restoration goals into custom 3D reef geometries — optimized for coral attachment, biodiversity, water flow and structural stability. Designs are exported directly to fabrication.
Technical Notes
Built on generative deep learning combined with marine biology and structural constraints. Designs are validated against REEFASIM environmental models before fabrication.