Industries

Harness real-time optimization, predictive alerts, and sustainability intelligence to drive uptime, reliability, and emissions compliance.

Power generation and utility infrastructure face growing challenges in balancing reliability, cost, and environmental targets. From thermal plants to industrial utilities, operators must maintain asset health, optimize energy flows, and meet decarbonisation goals — all while managing large-scale sensor data. Ingenero’s AI/ML-powered platform enables engineers to proactively detect faults, minimize system inefficiencies, and track emissions in real time. Whether you are managing chillers, boilers, air compressors, or steam networks, our tools empower smarter operations with no-code analytics, automated optimization, and intelligent alerting. With built-in emissions compliance support and asset performance monitoring, we help the power and utility sector accelerate digital transformation.

Streamline operations, reduce manual analysis, and accelerate process optimization with AI/ML tools built for chemical engineers.

Chemical manufacturing demands precision — from batch consistency and product purity to safe handling of volatile compounds. Plants must manage thousands of process tags, comply with strict environmental regulations, and operate near safety and production limits. Manual interventions and reactive troubleshooting often lead to delays or inefficiencies. Ingenero’s AI-powered solutions enable engineers to predict deviations, optimize batch operations, and visualize real-time KPIs without writing a line of code. Our no-code platform, advanced anomaly detection, and emissions tracking systems are designed to boost quality, throughput, and energy efficiency — while simplifying regulatory reporting and safety compliance.

Refinery operations are data-rich but insight-poor. With thousands of interdependent tags, fluctuating feedstock qualities, complex APC systems, and tightening ESG mandates, refiners are under pressure to maximize margins while maintaining safety and sustainability. Traditional historian and lab systems fall short when immediate optimization or predictive insights are needed. At Ingenero, we bring refinery digitalization to life — using AI-driven tools like real-time anomaly detection, soft sensors, APC performance monitoring, and live GHG tracking. Our refinery solutions empower engineers to troubleshoot faster, run closer to constraints, and stay audit-ready — all without writing a single line of code.

Petrochemical operations are under immense pressure to balance production, profitability, and sustainability. Units like ethylene crackers, debutanizers, and polymer plants handle complex reactions where even minor variations can cause off-spec production, energy waste, or equipment stress. Traditional monitoring relies on periodic lab data or manual trend checks, making timely intervention difficult. Ingenero brings industrial digitalization to life using AI/ML, no-code analytics, and real-time optimization tools. From predictive modeling to intelligent deviation alerts, our platform helps engineers improve reliability, optimize process variables, and ensure product quality — while supporting ESG goals and operational excellence.

Transforming Oil & Gas Operations with AI-Powered Optimization.
Improve equipment uptime, reduce emissions, and boost operational efficiency with digital solutions designed for complex upstream and downstream environments.

The oil and gas industry faces increasing pressure to operate safer, leaner, and greener. From upstream exploration to downstream refining, managing process complexity, regulatory compliance, and energy efficiency is more critical than ever. Legacy systems and siloed data make it difficult to extract timely insights, while unplanned outages or emissions non-compliance can cost millions. At Ingenero, we bring the power of digitalization and industrial AI/ML to transform oil & gas operations. Our solutions empower engineers with real-time performance monitoring, predictive analytics, emissions tracking, and AI-driven assistants — enabling smarter decisions, fewer disruptions, and better sustainability outcomes across the value chain.