News Features | Digital Water Solutions

April 25, 2026April 25, 2026

Water Utility Case Studies: Using AI to Find Leaks & Reduce Non-Revenue Water

As water utilities continue to face increasing pressure to reduce non-revenue water (NRW), the ability to quickly and accurately detect leaks across distribution networks is critical. This webinar explores how AI-powered solutions like hydrant.AI are helping utilities move from reactive to proactive water loss management.

Join us as we highlight real-world case studies from King County WD90 in Washington State and the City of Waterloo in Ontario. Both utilities have partnered with Digital Water Solutions to identify leaks within their networks, prioritize repairs, and significantly reduce water loss.

You’ll hear directly from these municipalities as they share insights into their network challenges, implementation process, and experience adopting hydrant.AI. Most importantly, we’ll dive into measurable results, including leak detection success, operational improvements, and the ROI achieved through AI-driven water management.

Watch the full webinar to see how AI can transform your approach to leak detection and NRW reduction.

April 25, 2026April 25, 2026

City of Waterloo

The City of Waterloo relocated the hydrant.AI units in their system into a specific area to determine the ROI on having the units spaced such that the leak locations identified on the map would lead to successfully finding the leaks within the system before digging. The city then confirms the presence of the leak location using correlators prior to digging. Based on just two (2) leaks being found in the area, the city was able to realize an ROI for 2025 on the system in less than 6-months.

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April 17, 2026April 17, 2026

Digital Water Solutions Inc. and Danish Water Innovation Enhance the Strategic Partnership to Advance AI-Driven Utility Insights Across the Nordic Water Sector

FOR IMMEDIATE RELEASE

Guelph, Ontario, Canada / Denmark — April 17, 2026 — Digital Water Solutions Inc. (DWS), a leader in artificial intelligence and machine learning solutions for water utilities, and Danish Water Innovation (DWI), a respected innovation partner supporting the water sector, today announced enhancement of their strategic partnership to bring advanced data intelligence solutions to water utilities across the Nordic countries.

The enhanced partnership will combine DWS’s proven AI and machine learning models with DWI’s deep regional relationships and sector expertise to help utilities unlock greater value from the data they already collect. By applying advanced analytics to existing operational data sources—including SCADA, GIS, customer metering, pressure, and flow data—water utilities will gain actionable insights that support better decisions across the organization.

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April 10, 2026April 10, 2026

Monthly Water Intelligence Update – April 2026

Water utilities are no longer dealing with isolated infrastructure issues. They are managing a compound risk environment shaped by water loss, contaminant scrutiny, climate volatility, and affordability pressure. The advantage now goes to utilities that can detect issues earlier, prioritize action confidently, and turn scattered system data into operational decisions.

Executive takeaway

This month’s signal is clear: the water conversation is shifting from replacement to resilience, water quality complexity, and strategic water security. In North America, the strongest themes are expanding contaminant scrutiny, climate-driven supply volatility, and growing recognition that water is now an economic and public-health issue, not just a utility operations issue. EPA’s move to add microplastics and pharmaceuticals to its draft Contaminant Candidate List is the clearest regulatory signal. Canada’s launch of work on a National Water Security Strategy is the clearest policy signal. Together, they point toward a market where utilities will need better monitoring, prioritization, and decision support—not just more capital. (US EPA)

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