See failure coming — before it stalls an entire plant. LTTS deployed its proprietary Asset Health Monitoring solution end-to-end for a global petrochemical major, moving plants across multiple geographies from reactive, legacy monitoring to predictive, AI-led asset health. The challenge was formidable: make sense of high-velocity data streaming from a vast, diverse asset base — each equipment class with its own failure physics — with no clean baseline for "normal" and just enough lead time to act. LTTS answered with an AI advisory decision-support engine, sensor-driven anomaly detection, custom models tuned per asset, and an automated alert workflow that routed every anomaly to the right owner.
Download the case study to see how LTTS engineers predictive reliability at global scale.