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CASE STUDIES

CASE STUDIES

Large Semiconductor Fab in US

Optimizing ultra-high purity electronic gases production through Automatic plant start-up, automatic load changes, and yield optimization

Major steel-works in Germany

Optimizing Oxygen supply and Argon production for constant major demand changes using self-learning AI Plant Control

Ethylene Cracker in US

Automating furnace operations with Automatic Sequence Transition. Avoiding coil damage through real-time coil temperature profile monitoring

European steel producer

Real-time optimization to address operator’s challenge of complex network operations and plant’s shortcomings of product waste, inefficiencies and reliability risks

Leading Integrated Petrochemical Manufacturer, Asia

To stay ahead in a competitive, efficiency-driven market, the plant aimed to evolve from passive data collection to intelligent operations—transforming fragmented data into dynamic intelligence to boost yield, efficiency, reliability, and operational autonomy

Transforming Plant Reliability with Gen-AI: A Blueprint for Intelligent Operations in Specialty Chemicals

A global specialty chemicals leader deployed Gen-AI powered solution to detect complex, pattern-based anomalies across critical assets. By combining historical data, OEM insights, and financial overlays, the system enabled faster, smarter operator decisions—delivering up to $5M in business impact.

AI-Powered Conversion Optimization for a Leading European Downstream Operator - Enhancing Process Stability and Conversion Efficiency

A leading European refiner deployed an AI – powered solution to optimize LC-FINING operations, improving anomaly detection, feed operability forecasting, and conversion efficiency – delivering up to 2% yield gain, enhanced process stability, and smarter catalyst management through predictive, model-driven decision support.