Ingenero

Solutions

Sustainability

Driving Industrial Sustainability through Data & Intelligence.

Ingenero’s AI-powered digital platform helps refineries, petrochemical plants, chemical units, and power utilities drive energy optimization, emission reduction, and ESG compliance—without costly infrastructure upgrades. By leveraging no-code digital solutions, AI-driven modeling, and predictive analytics, we enable real-time energy efficiency, waste reduction, and carbon footprint tracking.

Our sustainable digital ecosystem empowers operations and energy teams to achieve ESG targets through AI-powered digital twins, smart energy management, and automated sustainability dashboards. Harnessing data-driven intelligence, we deliver transparent, measurable results for a cleaner, more efficient industrial future.

The Challenge We Address
  • Energy Waste in Utilities: Hidden inefficiencies in hot oil circuits, steam networks, and fired heaters cost millions annually.
  • Fragmented Data: Energy and emission data scattered across siloed systems hinders informed decision-making.
  • Reactive Reporting: Emission KPIs tracked too late for corrective action.
  • Underutilized Heat Recovery: Missed opportunities for heat integration and waste energy reuse.
How Ingenero Adds Value
Solution Pillar What We Deliver
AI-Enabled Digital Twins Model plant networks to simulate heat recovery, fuel balance, and emission impact (Saudi LAB heat integration → $7M/year).
Operational Alerts & Insights Detects inefficiencies like hot oil pump overloading and suboptimal furnace firing before they escalate.
Real-Time Sustainability Dashboards Monitors energy, steam, fuel, and CO₂ emissions plant-wide using ImpactX + BI tools.
Automated ROI Tracking Benchmarks pre/post-project efficiency gains and financial returns.
Seamless Integration Works with PI, IP.21, PHD historians; connects to DCS and ERP; supports Power BI/Tableau.
Platform Benefits
Let’s optimize energy use, minimize carbon, and build your ESG roadmap - Schedule a Demo With Our Team