Revolutionize Your Maintenance Strategy with AI
Transform your maintenance strategy from reactive to predictive using AI-powered analytics. Anticipate equipment failures before they occur, optimize maintenance schedules, and maximize asset uptime across drilling rigs, production facilities, and processing plants.
What We Offer
Equipment Health Monitoring
Real-time condition monitoring using IoT sensors, vibration analysis, and process data to detect early signs of equipment degradation.
Failure Prediction
AI models forecast equipment failures 30–90 days in advance, giving maintenance teams time to plan interventions without disrupting production.
Root Cause & Spare Parts Optimization
Automated diagnostics identify underlying failure mechanisms while predictive spare parts planning reduces inventory costs and stockouts.
Equipment Health Monitoring
Real-time condition monitoring using IoT sensors, vibration analysis, and process data to detect early signs of equipment degradation.
Our results in numbers
asset availability
maintenance costs
emergency shutdowns
maintenance workforce productivity
Use Cases
Compressor Monitoring
Prevented catastrophic failures, reducing unplanned downtime by 45% with AI-driven health scoring and anomaly detection.
Pump Health Analytics
Extended mean time between failures (MTBF) by 35% through continuous monitoring of pressure, flow, and vibration signatures.
Heat Exchanger Fouling
Optimized cleaning schedules, improving heat exchanger efficiency by 20% while reducing unnecessary shutdowns.
Rotating Equipment Analytics
Vibration analysis detected bearing issues 60 days before failure, enabling planned interventions instead of emergency repairs.
Revolutionize Your Maintenance Strategy with AI
Deploy predictive analytics to prevent failures, optimize schedules, and maximize asset performance across your operations.
