Predictive Analytics


Constant Uptime with Real-time Monitoring of Equipment and Processes

Accurately predict the remaining useful life of mission critical components

BISTel’s third core capability lets manufacturers predict outcomes before they occur. AI based predictive applications that leverage machine learning algorithms and embedded human knowledge enable equipment and processes to make more complex decisions, real-time.

For instance, BISTel’s new equipment Health Monitoring & Predictive maintenance (HMP) solution combines real-time, issue detection, advanced analysis of real-time data against historical trends and patterns to determine the condition of the equipment coupled with new predictive capabilities that let customers accurately predict the health of their equipment or mission critical components at any point in time. This innovative new application also predicts the Remaining Useful Life (RUL) of equipment, making downtime a thing of the past.

Common Challenges


Therefore, BISTel provides AI-drive
predictive analytic solutions


HMP tracks the health and performance of your asset anytime

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Wafer Quality Predictor provides real-time visualization of wafer inventory quality

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