Continuously tracking and reconciling of utility SCADA, GIS, billing, AMI and other pertinent data sources (pressure, water quality, etc.) to monitor existing system sectors to detect, quantify and qualify non-revenue water events and issues. It provides world-class, AI-powered event detection, with a streamlined event management workflow, and continuously accrues a Component Analysis for any period in all sectors.

Advanced AI-driven predictive model, taking in GIS and CMMS/work orders, Baseform Big Data and other data sources to predict asset failures and deterioration over time. It combines with expert CoF and Risk frameworks to optimize renewal planning, generating and assessing CIP projects based on pipe deterioration, breaks avoided, NRW reduction or BRE reduction, in order to quantify and achieve the highest ROI.

A fully visual environment to manage meters, consumption, revenue, under-registration, and meter changeout. Given the meter database, available readings, water rates and changeout costs, Billing generates a prediction for the metering error and potential changeout payback of every customer meter. It guides the user in generating automated changeout plans, optimized by meter payback, performance, error, etc.

This is where all data and results produced by the apps above become available under a single visual 3D environment – the ultimate kPI dashboard. Totally dynamic, it updates continuously as new data streams in or new results are computed. It provides all users – from the technicians who generate the analyses, to field crews or to top level executives – with a unified, updated view of the infrastructure and the service.