We predict coastal floods with AI
Building Resilience for Ports, Harbours and Marinas
What we do
AI Flood Predictor
Predictions up to 5 days in advance with an accuracy of 85-95% to safeguard your assets
Interactive Map
Monitor the flood risk of your asset on a live map with a precision of up to 1 meter so you can make informed decisions.
Flood Alerts
Receive alerts if your assets are at risk of floods so you can protect people and mitigate financial losses.
Who is it for?
Ports
We enable port managers to anticipate risks, protect assets, and minimise downtime. So you can maintain continuity of operations, safeguard infrastructure, and reduce economic losses
Harbours
Harbours are highly vulnerable to flood damage and storm surges. We provide precise, localised flood predictions that help harbour authorities secure vessels, protect quayside businesses, and coordinate emergency responses
Marinas
Floods in marinas can lead to costly repairs and reputational harm. We offer accurate forecasts so marina owners can alert boat owners, move vessels to safer locations, and protect assets before disaster strikes.
We use a live predictive model
Fluvialycs is at the forefront of revolutionising catastrophe prediction through the application of artificial intelligence technology. Specialising in flood risk intelligence, our AI model provides short-term predictions efficiently and automatically. Unlike traditional methods, our technology uses predictive analytics to deliver reliable flood predictions within minutes. Our approach is deeply rooted in data-driven technology, leveraging decades of recorded hydrological data and incorporating real-time information from multiple rainfall and river level stations. The result is a dynamic model capable of predicting flooding in the next one, two, or three days.
At Fluvialycs, our vision extends beyond innovation; we aim to use our technology to create a better world, where proactive decision-making and advanced risk management contribute to a safer and more resilient future.
Our partners:
