Platform Solutions

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 via Cesium and Google, it helps identify I&I sources, reduce SSOs and CSOs, and model catastrophic events.

The HydroTrek DWDS Digital Twin (DT) is a SaaS platform component funded by SBIR grants. It uses SCADA and IoT data to model water distribution systems in real-time. Key features include optimizing pump operations, detecting leaks, modeling water quality, and avoiding system-wide boil-water advisories. The tool visualizes complex interdependencies in 3D, highlights discrepancies in geographic data, and models impacts of catastrophic events. 

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 via Cesium and Google, it helps identify I&I sources, reduce SSOs and CSOs, and model catastrophic events.

The HydroTrek CSRA 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. 

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.

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, and helps identify at-risk infrastructure. 

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. 

 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 to protect ecosystems.