
Environmental simulation engine that predicts performance before deployment.
Deploying reef structures without testing is risky and expensive. Sea trials are slow, hard to iterate on, and can damage the environment if a design underperforms.
REEFASIM simulates each design against real environmental data — temperature, currents, salinity, depth and light — predicting how coral will respond and how the structure will behave over time. Insights feed back into REEFAGEN for optimization.
Combines physics-based environmental modeling with machine learning trained on lab and field data. Calibrated against REEFA's own 90-day coral growth experiments.