
Petrochemicals
Maximize Yields with Every Molecule Mapped by AI
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.
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.