Product Portfolio

  The HydroTrek-CSRA is a machine learning (ML)-based platform 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. It utilizes GPU technology for efficient training and incorporates GIS visualization for better system understanding. This innovative tool helps optimize inspection resources and improve sewer network performance.

  The HydroTrek WCS DT is a sophisticated SaaS platform 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 platform has been successfully implemented across several sanitation districts, demonstrating its practical utility in improving storage utilization and operational optimization.

The HydroTrek-DSRA is an advanced ML-based platform for managing water distribution systems, specializing in Likelihood of Failure (LoF) predictions using a unique Survival Analysis approach. Unlike traditional tools, it generates temporal degradation curves for individual pipes. Validated across North American utilities using UBC’s Supercomputing Cluster, it supports both off-the-shelf and custom ML models for varying data quality. GIS-based Consequence of Failure (CoF) analysis enables comprehensive risk assessments, with testing showing superior performance over age-based predictions—helping prevent failures and reduce non-revenue water loss.

  The HydroTrek DWDS Digital Twin (DT)is a SaaS platform 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. This platform enhances operational efficiency, reduces energy costs, and strengthens system resilience.

  The HydroTrek SRS is a browser-based SaaS platform 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 is accessible across devices and simplifies hydrological assessments. It enables historical runoff analysis and climate impact modeling, aiding decision-making in stormwater management and resilience planning.

 HydroTrek’s Source Water platform 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. The system also provides river reports and water quality data for recreational users, making it a robust tool for safety and environmental protection.

DeepVibe is an advanced IIoT solution for predictive maintenance, available in LX 6KHz and DX 1.6KHz models with tri-axial vibration and temperature sensors. Designed for smart factories, it combines AI/ML with real-time FFT and CEEMDAN analysis to detect early faults and reduce downtime. The wireless system operates via secured Wi-Fi and EDGE Gateways in a scalable mesh network. A key feature is its long-life battery with online status monitoring. DeepVibe’s dashboard delivers continuous machine health insights, helping extend equipment life and ensure operational safety.