Showing 17–31 of 31 results
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Gen AI
(0)Ingenero’s GenAI-Powered Suite revolutionizes digital transformation in the oil & gas, chemical, and petrochemical industries by turning complex engineering documents and dashboards into real-time, interactive insights. Whether you’re decoding equipment datasheets, extracting specs from P&IDs, or querying SOPs, our document-intelligent chatbots empower engineers to retrieve critical information instantly — no manual digging, no coding. From predictive maintenance to simulation-ready formatting, GenAI reduces downtime, accelerates troubleshooting, and improves safety compliance. With seamless integration into digital dashboards and legacy document formats, the solution enables voice- and text-based interactions, helping plant teams make faster, data-driven decisions while ensuring enterprise data security. Unlock productivity with industrial GenAI.
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GenX360
(0)genX360 is a Generative AI decision-support platform designed for chemical and process manufacturing operations. It provides engineers and operators with a conversational AI assistant across operating dashboards, Teams, and other work channels, enabling them to access plant information, generate reports, initiate analyses, and manage operational actions using plain-English instructions.
Configured using plant-specific tags, documents, dashboards, unit templates, and engineering tools, genX360 identifies the appropriate source or tool for each request and delivers contextualized answers, summaries, reports, alerts, presentations, and approved work actions within the applications teams already use.
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iNetZ
(0)In the race toward carbon neutrality, i NetZ empowers industrial companies to digitalize their GHG emissions management. This AI-enabled sustainability platform streamlines the process of measuring, tracking, and reducing Scope 1 and Scope 2 carbon emissions in real time. By integrating with plant historians and aligning with GHG Protocol, SBTi, and ISO 14064-1 standards, i NetZ ensures data accuracy and regulatory readiness. Whether your goal is compliance, ESG reporting, or achieving science-based net-zero targets, i NetZ offers automated emission calculations, customizable reporting, and progress tracking—all within a secure, role-based platform tailored for complex organizations.
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InsightX Suite
(0)InsightX is the advanced industrial analytics and intelligence suite within the IngeneroX ecosystem. It transforms operational and engineering data into deeper insights that help teams detect process deviations, evaluate control performance, develop predictive models, and deploy engineering algorithms across plant operations.
By bringing together AlertX, APCperformX, AnalyticX, and AlgoX, InsightX combines process-aware detection, advanced process control performance monitoring, no-code analytics, and engineering model deployment within a connected environment. It enables organizations to move beyond basic monitoring toward deeper diagnosis, prediction, and actionable industrial intelligence.
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MaintenanceX360
(0)MaintenanceX360 is an industrial maintenance benchmarking and KPI intelligence solution that transforms existing maintenance, cost, reliability, and asset data into ranked and actionable performance insights. It works with existing SAP and CMMS/reliability solutions to identify which plants, asset classes, assets, and KPIs are driving maintenance performance and cost.
Rather than introducing a new maintenance-management system, MaintenanceX360 provides the benchmarking and KPI intelligence layer needed to compare performance across the organization, identify persistent deterioration, and focus engineering attention on the areas creating the greatest reliability and cost impact.
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MonitorX Suite
(0)MonitorX is the industrial monitoring and performance intelligence suite within the IngeneroX ecosystem. It transforms plant data into actionable operational visibility, helping engineering and operations teams continuously monitor process behavior, evaluate performance, identify deviations, and respond to changing operating conditions.
By bringing together TrendX, BaseX, NotifyX, and DashX, MonitorX provides a connected environment to analyze trends, establish performance benchmarks, automate operational notifications, and visualize critical plant information. It enables organizations to move from fragmented and reactive monitoring toward continuous, data-driven operational awareness.
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NotifyX
(0)NotifyX is an intelligent notification and workflow automation solution within the MonitorX Suite, designed to continuously monitor plant KPIs, process events, instrumentation faults, and tag anomalies. It transforms detected conditions into configurable alerts, reports, and automated workflows, helping the right teams receive relevant operational information at the right time.
By combining KPI monitoring, anomaly detection, prescriptive insights, and automated reporting, NotifyX reduces manual monitoring and helps plant teams respond faster to emerging operational conditions.
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OptimaX
(0)OptimaX is a real-time AI-powered tool for optimizing equipment performance in oil & gas and chemical industries. It monitors production, energy, and sustainability KPIs to identify operational inefficiencies. Live data analytics and color-coded insights highlight gaps from ideal conditions. Engineers receive actionable guidance on how to adjust process parameters, improving yields and reducing energy use. With advanced dashboards, heat maps, and sensitivity analysis, OptimaX transforms reactive monitoring into predictive, data-driven performance enhancement—driving digital transformation across refineries and process industries.
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OutlierX360
(0)outlierX360 is an ML-powered outlier detection and diagnostic solution that continuously monitors plant sensor data to identify abnormal process behavior, subtle process drifts, and potential equipment issues before conventional alarms are triggered.
Using existing plant data, outlierX360 continuously evaluates critical process variables and distinguishes between instrument drift, genuine process or equipment faults, known disturbances, and expected baseline shifts. By providing severity context, reason codes, correlated tags, and expected values for detected events, it helps engineering teams focus on genuine abnormalities and take proactive action.
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PEnAI
(0)PEnAI is an agentic AI solution designed to help engineering and operations teams interact with plant data, analytics, and engineering knowledge through natural language. Grounded in the IngeneroX Asset Framework, plant documents, operational data, and outputs from other IngeneroX solutions, it provides contextualized insights for monitoring, reporting, optimization, troubleshooting, asset health, and knowledge retrieval.
By bringing operational intelligence and engineering knowledge into a conversational environment, PEnAI helps teams access relevant information faster, investigate plant issues, generate reports, evaluate improvement opportunities, and retain critical engineering knowledge across the organization.
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PolymerX360
(0)PolymerX360 is an AI-powered decision-support solution designed for PE and PP production units. It analyzes historian and DCS data to benchmark plant performance and identify optimization opportunities across reactor operations, hydrogen and co-monomer balance, condensation control, recovery systems, product quality, and extrusion efficiency.
Configured to each plant’s technology, grade slate, and operating envelope, PolymerX360 combines process intelligence and machine learning to generate predicted KPIs and ranked, quantified recommendations. This helps process engineers improve production performance, product quality, energy efficiency, catalyst utilization, and operational reliability.
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ReliabilityX360
(0)ReliabilityX360 is an AI-powered decision-support solution for critical plant assets. It combines domain expertise, machine learning, asset-specific configuration, and historian and DCS data to identify developing equipment issues early and provide reliability teams with actionable insights before potential failures occur.
Rather than relying on alerts that trigger too late or too frequently, ReliabilityX360 identifies active failure modes, estimates time-to-failure, determines the parameters contributing to the issue, and recommends appropriate actions. Its configurable framework can be adapted to the asset’s own build, subsystems, sensor availability, and failure modes.
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Trend X
(0)TrendX is Ingenero’s visual analytics module that helps engineers and operators unlock long-term performance insights by trending critical KPIs across assets and plant operations. By seamlessly connecting to multiple data sources, TrendX enables users to plot and correlate multiple tags, detect outliers, and compare performance across time periods to uncover hidden seasonality effects or post-maintenance improvements. With intuitive dashboards and visual plots, TrendX transforms raw plant data into actionable intelligence — making root cause analysis faster, troubleshooting simpler, and operational decisions smarter.
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TrendX
(0)TrendX is an industrial time-series visualization and analytics solution within the MonitorX Suite. It transforms historian and process data into actionable insights, enabling engineers to explore operating trends, analyze events, compare process behavior, and identify deviations across assets and operating periods.
With advanced visualization and statistical analysis capabilities, TrendX helps engineering and operations teams move beyond basic historian trending to understand how processes behave, compare current performance with previous operating conditions, and investigate potential causes of operational changes.
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VDUX360
(0)VDUX360 is an AI-powered decision-support solution designed for Vacuum Distillation Units (VDUs). It combines domain expertise and machine learning to benchmark column, heater, and ejector performance, transforming historian and DCS data into ranked and quantified recommendations across yield, energy efficiency, throughput, and asset performance.
Configured to each unit’s feedstock and operating envelope, VDUX360 analyzes plant conditions to identify performance gaps and their underlying causes, helping process and operations teams make informed decisions to improve VDU performance.
