Sage AI
Intelligent Manufacturing Analytics Platform

A Fortune 1000 industrial manufacturer specializing in precision components for automotive and aerospace sectors. The company operates 4 production facilities across the Midwest with legacy quality control systems relying on manual inspection and reactive maintenance.
As the manufacturer pursues Industry 4.0 maturity, they engaged Cylix to build SAGE AI — an intelligent analytics platform integrating IoT sensor data, computer vision defect detection, and predictive maintenance models to transform operations from reactive to predictive.
Solution Implemented
Problem Statement
Legacy quality control relies on manual visual inspection, resulting in a 6–8% defect escape rate into downstream operations. These high defect rates drive approximately $2.4 million annually in costs related to recalls, rework, and warranty claims across product lines. Additionally, there is no real-time visibility into overall equipment effectiveness (OEE), as data is only available through batch reports generated 12–18 hours after production. The organization also struggles with disconnected data silos, with MES, SCADA, ERP, and quality systems operating independently across four plants. Compounding these challenges, unplanned downtime averages 14% of total capacity due to a largely reactive maintenance approach.


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