AlgoX is an engineering algorithm deployment and orchestration solution within the InsightX Suite. It enables organizations to integrate existing engineering models, custom calculations, and legacy code with live plant data, transforming valuable engineering knowledge into scalable operational applications.

By connecting algorithms directly with plant tags and providing a governed environment for execution, version control, and performance monitoring, AlgoX helps organizations preserve engineering expertise and deploy proven models consistently across assets, units, and sites.

AlgoX is an engineering algorithm deployment and orchestration solution within the InsightX Suite. It enables organizations to integrate existing engineering models, custom calculations, and legacy code with live plant data, transforming valuable engineering knowledge into scalable operational applications.

By connecting algorithms directly with plant tags and providing a governed environment for execution, version control, and performance monitoring, AlgoX helps organizations preserve engineering expertise and deploy proven models consistently across assets, units, and sites.

APCPro is a specialized tool which enables real-time monitoring and performance evaluation of APC controllers. It provides valuable insights into the health and effectiveness of controller by continuously tracking key performance indicators (KPIs), controller activity. APCPro also identifies early signs of controller degradation, diagnose issues, and prioritize maintenance actions to ensure sustained benefits from APC systems.

Asset Framework is the plant contextualization layer within the DataHubX Suite. It creates a structured digital representation of the physical plant across companies, sites, plants, process units, equipment, and tags. By connecting operational data, engineering metadata, and technical documents with the assets they represent, Asset Framework allows engineers and AI applications to understand information within its correct operating context. It creates reusable asset models that support consistent monitoring and analysis across equipment, units, and plants.

CokerX360 is an AI-powered decision-support solution designed for Delayed Coking Units (DCUs). It combines domain expertise and machine learning with historian and DCS data to monitor and optimize heater performance, coke drum cycles, rotating equipment health, light ends fractionation, and unit energy performance.

Configured to each unit’s geometry, crude slate, and operating envelope, CokerX360 transforms plant data into predicted KPIs and ranked, quantified recommendations. Each action is connected to its underlying cause, helping process engineers identify performance gaps and take targeted actions to improve production, run length, reliability, and operating efficiency.

controllerX360 is a vendor-agnostic control-loop performance monitoring and diagnostic solution designed to evaluate every controller across the plant. It analyzes PV, SP, OP, and MODE data from existing plant historians through a cascading diagnostic framework to identify service-factor issues, saturation, valve stiction, oscillation, and sluggish tuning.

Rather than generating another list of alarms, controllerX360 isolates mechanical and operational faults before recommending tuning actions. It converts diagnostic results into a ranked, evidence-backed work list showing which loops require attention, what is causing the issue, and which team should own the corrective action.

DataHubX is the trusted data foundation for the IngeneroX industrial AI ecosystem. It brings together operational information and engineering context so plant data can be consistently accessed, understood, and used across monitoring, analytics, reporting, and optimization applications. By combining Data Configurations with the Asset Framework, DataHubX creates a scalable foundation for MonitorX, InsightX, PEnAI, and other IngeneroX solutions without requiring organizations to replace their existing technology systems.

EnergyX360 is a real-time decision-support solution for plant-wide energy and utility network optimization. It combines real-time plant data, process engineering models, equipment operating constraints, and MINLP-based optimization to determine the most energy-efficient operating strategy across utility systems.

By continuously evaluating equipment availability, operating conditions, process loads, and utility demand, EnergyX360 provides actionable recommendations for boilers, turbines, motors, compressors, and utility networks. This enables process and operations teams to reduce energy consumption and emissions while maintaining reliable plant operation.