AI-Powered Predictive Maintenance for Regional Airline

A major regional airline operating 50+ aircraft was experiencing significant revenue loss from unplanned maintenance events. Their legacy monitoring systems could only detect issues after they occurred, leading to flight cancellations and costly emergency repairs.

We deployed a comprehensive IoT sensor network across their fleet, ingesting real-time telemetry data into our custom-built ML pipeline. Our team of NTU-trained AI engineers developed ensemble models combining LSTM networks with gradient boosting to predict component failures 72 hours in advance.

The solution included a real-time monitoring dashboard for maintenance crews, automated work order generation, parts inventory optimization, and integration with existing MRO systems. The platform processes over 2 million sensor readings daily across the entire fleet.

“

Meti Labs transformed our maintenance operations. Their AI platform has virtually eliminated surprise groundings and saved us millions in the first year alone.