If you are a city agency dealing with unpredictable flash floods — this project developed a turnkey river forecasting service that provides real-time water surface height and velocity to secure goods and protect communities.
Real-time Global Flood Monitoring and River Forecasting Service
Imagine having a network of tiny, smart sensors that act like satellites but sit right on the riverbank. They constantly watch water levels and speed, sending the data instantly to a central hub. This allows cities to know exactly when a flood is coming before it happens, rather than guessing based on old maps.
What needed solving
Governments struggle to manage flood risks due to a lack of real-time, high-frequency hydrological data. Current systems often lack the granularity needed to prevent devastating climate-change driven flood events.
What was built
A network of AI-powered micro-stations and a real-time hydrometeorological database. The system measures water surface height, velocity, and rainfall rates.
Who needs this
Who can put this to work
If you are an insurance provider dealing with inaccurate flood risk assessments — this project developed a large-scale hydrometeorological database that combines in-situ data with satellite measurements for better risk assessment.
If you are an infrastructure manager dealing with structural threats from rising water — this project developed micro-stations that measure water surface height and velocity in real time to prevent damage.
Quick answers
What is the cost or pricing model for this service?
Based on available project data, the service is described as a non-binding turnkey service, but specific pricing tiers are not listed.
Can this be deployed at an industrial scale?
Yes, the project is scaling up with the manufacturing and installation of 1000 new v2.1 micro-stations to cover Europe and global flood-risk areas.
Who owns the IP or how is it licensed?
The system relies on proprietary algorithms and hardware developed by vorteX-io, though specific licensing terms are not provided in the dataset.
How does the system integrate with existing data?
The service optimizes downstream water management by combining in-situ data from micro-stations with existing satellite measurements.
What is the timeline for global availability?
The project period runs from 2023-06-01 to 2025-06-30, with initial pilots in France and Croatia before expanding globally.
Who built it
The project is led by a single SME, vorteX.io (France), indicating a highly streamlined, industry-driven approach. With a 100% industry ratio and a total funding portfolio of €3.7 million, the focus is heavily on commercial acceleration and hardware deployment rather than academic research.
Contact vorteX.io in France regarding their micro-station deployment
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