Platform Solutions
Drinking water
Drinking Water Distribution System Digital Twin (DWDS-DT)
The HydroTrek DWDS DT is a leading software as a service (SaaS) browser-based software platform It has been successfully tested in several utilities to reduce pumping costs, improve water quality, detect leaks and reduce main breaks. The DT uses the information from the SCADA and IoT systems to continuously calibrate the model in real-time and accurately calculates the system pressure in a variety of conditions including main breaks.
Drinking Water Distribution System Asset Risk Assessment (WDS-RA)
Our advanced ML-based platform for managing water distribution systems, specializing in Likelihood of Failure (LoF) predictions through Survival Analysis. It generates temporal degradation curves for individual pipes and has been validated across North American utilities using UBC’s Supercomputing Cluster. It uses GIS-based Consequence of Failure (CoF) analysis for, outperforming traditional age-based methods to prevent failures and reduce non-revenue water loss.
Wastewater
Wastewater Collection System Digital Twin (WCS-DT)
The HydroTrek WCS DT is a sophisticated SaaS platform component designed for wastewater system management. It integrates with SCADA and IoT systems to deliver live data, rainfall processing, I&I analysis, and water quality assessments. With 2D GIS, SCADA HMI, and 3D visualizations, which helps identify I&I sources, reduce SSOs and CSOs, and model catastrophic events.
Wastewater Collection System Asset Risk Assessment (WCS-RA)
The HydroTrek WCSRA is a machine learning (ML)-based platform component designed to assess sewer system risks by analyzing CCTV inspection footage and uninspected assets. Using advanced computer vision (CV) and ML, it identifies defect locations with high accuracy, reducing risks such as catastrophic failures and infiltration/inflow (I&I). The system supports QA/QC for existing inspections and creates new reports from unprocessed video.
Stormwater
Stormwater Runoff Digital Twin (SRDT)
The HydroTrek SRS is a browser-based SaaS platform component for simulating stormwater runoff scenarios. It integrates data from U.S. government agencies to model runoff in real-time and supports low-impact development (LID) strategies like rain barrels and cisterns. Powered by the US EPA SWMM engine, the platform component is accessible across devices and simplifies hydrological assessments. It enables historical runoff analysis and climate impact modeling.
Flood Damage Assessment and Risk Management (FDARM)
The HydroTrek FDARM is an advanced browser-based platform for real-time flood detection, damage assessment, and predictive modeling. It integrates AI-driven image analysis, IoT data, and physics-based HEC-RAS simulations to provide accurate flood-inundation mapping and dynamic risk forecasts. With an interactive water-elevation slider and immersive 3D visualization, FDARM enables rapid situational awareness, supports tabletop preparedness exercises.
Source-water
Source Water Protection (SWP)
HydroTrek’s Source Water platform component offers real-time monitoring and predictive analytics for comprehensive water source management. It features neural networks for E. Coli prediction, real-time river spill plume modeling, marine traffic and flood monitoring, and 3D visualizations. With AI-powered detection and “what-if” scenario modeling, it supports both emergency preparedness and response.
Riverine Spill Modeling System (RSMS)
HydroTrek's Riverine Spill Modeling System (RSMS) helps utilities and communities predict, track, and respond to contaminant spills in rivers and streams. By combining real-time sensor data with hydraulic and water quality models such as the USGS Branched Lagrangian Transport Model (BLTM), RSMS simulates spill movement under varying flow and velocity conditions. This delivers rapid scenario analysis, accurate downstream impact forecasts, and actionable insights.