inCTRL Solutions Inc.
About
inCTRL Solutions Inc. is a digital water software company founded in 2012 and part of the SKion Water group since 2021, providing intelligent operations platforms and advanced analytics for the water, wastewater, and biogas sectors. The company maintains offices in Toronto (Canada), Cottonwood Heights, Utah (USA), and Birmingham (UK), serving municipal utilities, biogas operators, and food and beverage facilities across North America, Europe, and Asia. inCTRL's flagship opsCTRL platform consolidates plant data from disparate SCADA, historian, and instrumentation sources into a single interface, delivering remote monitoring, alarm management, predictive maintenance alerts, and KPI-based decision support. The platform is offered in two configurations: opsCTRL Facility for plant operators and managers, and opsCTRL Supplier for equipment manufacturers monitoring their installed base. The SIMBA# modeling and simulation engine is recognized internationally as a leading digital twin platform for water, wastewater, and biogas systems, used by utilities, consulting engineers, and research institutions for dynamic process modeling, operator training, and scenario planning. Built on these two platforms, inCTRL's Advanced Digital Solutions suite delivers eight plug-and-play modules: Sensor Performance Management (SPM) validates instrument accuracy against lab data, Water and Wastewater KPI Suites provide real-time dashboards tracking flow, nutrients, energy, and yield, Controller Performance Monitoring (CPM) autotunes PI/PID loops using operational data without step tests, AI Sensors generate virtual estimates of hard-to-measure variables like volatile fatty acids and ammonia, Membrane Performance Management (MPM) tracks filtration cycles and cleaning efficiency for UF and MBR systems, Digester Performance Management (DPM) monitors over 20 KPIs and gas-yield trends for anaerobic digesters, Digital Twins enable simulation-based optimization, and Advanced Control modules (ABAC-SRT and MPC) deliver predictive multi-variable control of aeration intensity and solids retention time.
Key Products
An intelligent operations platform that centralizes all plant data into one interface, providing remote monitoring, predictive maintenance, KPI-based decision support, and system integration for water and wastewater facilities.
A variant of opsCTRL tailored for facility operators to manage day-to-day water and wastewater plant operations with dashboards, alerts, and decision support.
A variant of opsCTRL designed for equipment suppliers to monitor and support their installed base at customer facilities.
A modeling and simulation platform for water, wastewater, and biogas systems that powers digital twins, operator training simulators, and process optimization for utilities, consultants, and researchers.
Automated module that checks sensor health and reliability through lab-data comparisons, ensuring instrumentation accuracy in water and wastewater treatment plants.
Real-time dashboards and alerts tracking flow, nutrients, energy, yield, and other key performance indicators for water and wastewater facility operations.
Evaluates and auto-tunes PI/PID control loops using everyday operational data without requiring step-tests, optimizing aeration and process control in treatment plants.
Virtual sensor modules that estimate hard-to-measure variables such as volatile fatty acids (VFA) and ammonia using machine learning and process models, reducing the need for expensive instrumentation.
Tracks membrane filtration cycles, cleaning efficiency, and capacity analytics for ultrafiltration and membrane bioreactor systems in water and wastewater treatment.
SIMBA#-powered virtual replicas of physical treatment plants that enable simulation-based scenario planning, operator training, and process optimization without disrupting operations.
Monitors over 20 KPIs, gas-yield trends, and alarms for anaerobic digesters, improving biogas production and digester stability at wastewater and biogas facilities.
Predictive multi-variable control strategies that optimize aeration intensity, solids retention time, and process stability in wastewater treatment using model-predictive and adaptive algorithms.
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