Flooding causes billions of dollars in damages annually, and traditional flood prediction methods often lack the speed and accuracy needed for effective early warning and disaster response. Existing fluvial modeling techniques can be slow and may not integrate real-time data effectively, leaving communities and businesses vulnerable.

Fluvialycs provides AI-powered flood risk intelligence, delivering short-term flood predictions with an accuracy between 85% and 95%. Unlike traditional fluvial modeling, Fluvialycs uses predictive analytics to deliver reliable flood predictions in minutes. The AI model is trained using decades of recorded hydrological data, incorporating observed rainfall and river level information, and integrating live data from multiple rainfall and river level stations. This enables prediction of flooding up to three days ahead, accounting for various climate change scenarios. The platform includes a live interactive map that highlights areas expected to be impacted by fluvial flooding in the coming days, providing a visual representation of risk.

AI-based flood risk intelligence providing short-term predictions

Accuracy between 85% and 95%

AI model trained using decades of recorded hydrological data

Integration of real-time data from rainfall and river level stations

Prediction of flooding up to three days ahead

Consideration of various climate change scenarios

Live interactive map highlighting areas at risk

Real-time updates reflecting current flood conditions

Customizable alerts for specific regions or assets

Fluvialycs serves local authorities, insurance companies, infrastructure managers, and business owners who need accurate and timely flood predictions to enhance public safety, reduce costs, and strengthen resilience.