Our AI-powered predictive maintenance solutions leverage machine learning to analyze equipment sensor data in real-time. For Basic Chemical Industries, we reduced unplanned downtime by 40% by predicting equipment failures before they occur, optimizing maintenance schedules and extending asset lifespan.

We build machine learning models to forecast trends and automate decision-making. Our work with Basic Chemical Industries used vibration data analysis to predict equipment downtime, reducing failures by 30%. Real-time alerts and predictive maintenance ensure operational continuity.

Our AI-driven anomaly detection and clustering solutions provide real-time insights. For the University of Prince Mugrin, we developed a student performance dashboard that identified underperforming segments, improving academic outcomes through targeted interventions.

We integrate AI into existing systems for scalable solutions. Our smart parking system for Madinah Development Authority used AI and generative AI for demand forecasting and dynamic routing, reducing urban congestion by 15%.