Sold by: Sand Technologies
Water utilities lose millions each year to undetected infrastructure failures, delayed crew response, and reactive operations built on complaint-driven workflows. Situational Awareness for Water Utilities replaces this with continuous, AI-driven operational visibility across distribution networks. The platform ingests sensor, GIS, work order, and weather data to detect events in real time, localise them to within 100 meters, assess downstream consequence, and route prioritised actions to operators and field crews. Deployed at St. Louis Water, it reduced burst detection time by 75% and cut annual operating costs by $300K. It works on "dark" networks with minimal instrumentation, requires no SCADA dependency, and deploys in 30 to 60 days.
Overview
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Mapping Risk Areas
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Mapping Logged Complaints
Situational Awareness for Water Utilities is an AI-powered operational intelligence layer that gives water utility operators a real-time, explainable picture of what is happening across their distribution network and what to do about it. It combines data integration (SCADA, GIS, pressure sensors, AMI, work orders, weather), AI-driven event detection and risk scoring, and agentic decision workflows that surface prioritised, actionable recommendations rather than raw alerts.
The platform operates across three capability tiers. Tier 1 (Dark Operations) serves utilities with minimal instrumentation, delivering burst detection, asset risk scoring, and incident triage from available data. Tier 2 (Noisy Operations) adds sensor-rich event correlation, crew dispatch optimisation, and isolation consequence modelling. Tier 3 (Intelligent Operations) introduces predictive maintenance, capital targeting, and autonomous workflow orchestration. Each tier deploys as a packaged product into customer AWS accounts, with no re-architecture of existing utility systems required.
Highlights
- 75% reduction in burst detection time.
- 5x improvement in localization accuracy.
- Near-instant boil water advisories.
Details
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Deployed on AWS
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