Solutions
Reliability
Reliability that Powers Performance — Backed by AI & Engineering
Ingenero’s AI-enabled reliability platform helps refineries, petrochemical plants, chemical facilities, and power utilities maximize asset uptime, extend equipment life, and reduce unplanned shutdowns — without costly overhauls. By combining no-code predictive maintenance models, real-time anomaly detection, and root cause analytics, we forecast failures before they occur and optimize turnaround planning.
Our digital reliability ecosystem empowers operations and maintenance teams to achieve higher availability, lower maintenance costs, and smarter asset prioritization. Harnessing data-driven foresight, we deliver transparent, measurable gains for a more resilient, high-performance industrial future.
The Challenge We Address
Unplanned Downtime: Unexpected failures in pumps, exchangers, gasifiers, and heaters cause production loss.
Reactive Maintenance: Plants relying on breakdown maintenance face high repair costs and lost output.
Data Underutilization: Years of sensor data remain untapped for predictive modeling.
Complex Turnarounds: Without asset risk ranking, Turnaround schedules become inefficient.
How Ingenero Adds Value
| Solution Pillar | What We Deliver |
|---|---|
| Predictive Failure Models | ML models predicting failures with >80% accuracy and 22-day advance warnings (Gasifier case). |
| Anomaly Detection | Real-time deviation alerts via AlertX for pumps, exchangers, and fired heaters. |
| Root Cause Analytics | Engineering logic reviews to identify recurring problems (demin polisher → $1.8M/year saved). |
| TAN Optimization | Risk-based equipment prioritization for shutdown planning. |
| Digital Dashboards | Reliability KPIs and asset health scores updated live. |
