Opinum Data Hub centralizes consumption, pressure, flow, and quality timeseries for water utilities, adding demand forecasting, billing integration, and modular real-time dashboards.


Water networks and treatment sites depend on conditions and assets that change between scheduled inspections. Developing equipment faults may emerge without a clear indication of which site, zone, or asset needs attention. Utility, operations, and maintenance teams often rely on manual readings and disconnected systems, making it hard to compare current conditions with normal operation. This delays response and increases the chance of downtime, waste, safety exposure, or service disruption.
Data Hub - Water Utilities collects meter, flow, and equipment-status readings across water networks and treatment sites and sends the readings to a secure cloud application. Dashboards and configurable rules show condition trends and early fault indicators, retaining history by site, zone, or asset. This gives utility, operations, and maintenance teams the context to plan maintenance before failure, helping them reduce unplanned downtime and unnecessary service and document the response.
Sensors, meters, tags, or controllers are installed at the relevant points across water networks and treatment sites to capture meter, flow, and equipment-status readings. Readings move over BLE and NB-IoT to a secure cloud application, with a gateway or edge service added where required. The application organizes condition trends and early fault indicators by site, zone, or asset and keeps a history for comparison. When a rule identifies an exception, an alert gives the responsible team the context to plan maintenance before failure. Deployment can start with one area or asset group and extend to additional sites using the same monitoring and response workflow.
Vendor documentation: link 1 · link 2 · link 3 · link 4 · vendor website
Evidence level: L2 · Documented: how evidence levels work
Unified data: Integrates data from various sources into a single platform
Demand forecasting: Utilizes algorithms to predict water demand
Tailored deployment: Customizable features suit specific utility requirements
Live insight and billing: Dashboards for live visualization, linked with billing tools for accurate invoicing
Aggregates data from smart meters, IoT sensors, and SCADA systems
Applies algorithms and AI/ML models to predict water demand and enable advanced analysis
Connects with billing systems for accurate invoicing
Displays live data for monitoring and analysis
Configurable alerts for consumption anomalies and other relevant information
Customizable features, data publication via APIs or exports, and flexible hosting options
Ask the AI Solution Architect: compare this solution against alternatives, check connectivity for your region, and get integration guidance. Included with IoT Apps Enterprise.
Fit, availability or a detail on this page. Goes straight to Opinum, no RFP needed.

Centralizes smart meter, EV charger, and renewable asset timeseries for utilities, with AI-based demand forecasting and…

Electricity, water, and gas meter data is normalized in one analytics engine that benchmarks sites, projects demand, and flags…
Predict+ adaptive models produce sub-hourly through multi-year demand forecasts.

LoRaWAN controllers on distribution transformers detect intrusion, vibration and tilt, triggering onsite sirens and GPS-tagged…

SeekOps algorithms eliminate false positives, localize and attribute sources.
