HydroSphereAI Case Study: Sauble River at Allenford — Spring Melt 2025

HydroSphereAI Case Study: Sauble River at Allenford — Spring Melt 2025

Using HydroSphereAI to anticipate and understand flood risks in real time and in retrospect. In late March and in the first days of April 2025, the Grey Sauble Conservation Authority issued an “All Watersheds” Flood Watch in anticipation of significant rainfall and elevated flows. A forecasted weather system was expected to bring up to 50 mm of total precipitation, following weeks of already saturated conditions. For the Sauble River at Allenford (Station 02FA004), this setup resulted in two distinct streamflow peaks within a five-day span— first on March 30, then again on April 3. Looking at both peaks, HydroSphereAI consistently delivered strong performance in predicting the structure and timing of the events.

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HydroSphereAI: Next-Generation Hydrological Forecasting & AI-Driven Insights for a Changing Climate

HydroSphereAI: Next-Generation Hydrological Forecasting & AI-Driven Insights for a Changing Climate

We’re excited to share the recording of our recent webinar, HydroSphereAI: Machine Learning-Driven Insights and Hydrological Forecasting in a Changing Climate.

This session offers a deep dive into how cutting-edge machine learning approaches are transforming streamflow prediction and hydrological forecasting across Canada.

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HydroSphereAI featured in OWC’s Innovation Showcase

HydroSphereAI featured in OWC’s Innovation Showcase

We’re proud to share that Aquanty’s cutting-edge hydrological forecasting tool HydroSphereAI is now featured in the Ontario Water Consortium (OWC) Innovation Showcase. The OWC highlights our machine-learning based streamflow forecasting tool, designed to address the complex water management challenges of today and position Aquanty as a leader in hydrological forecasting solutions.

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Aquanty Selected as Finalist for New Tech Award for Machine-Learning Based Streamflow Forecasting

Aquanty Inc. is proud to have been selected as finalists for the New Tech award at the annual Water Canada Awards. This award recognizes a groundbreaking new product at the forefront of technological innovation in the Canadian water sector.

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"HydroSphereAI: Machine Learning for Flood and Drought Forecasting" - Aquanty Webinar

"HydroSphereAI: Machine Learning for Flood and Drought Forecasting" - Aquanty Webinar

Aquanty has developed a new machine-learning model that can produce highly accurate streamflow forecasts hours or days into the future. We are currently working on integrating these new capabilities into our suite of web-based water decision support tools. As one of the only companies in Canada currently doing this kind of forecasting, we are well positioned to meet a growing need for advanced forecasting tools. ML-based streamflow forecasts are currently available for a small selection of watersheds in southwestern Ontario through Aquanty’s HGSRT web platform.

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