Predictive Quality Platform
PrediQ simulates and recommends environments to test out deviations in production parameters and the likely impact on product quality. Through advanced machine learning models, industrial IoT and, optimization techniques, we enable proactive control of the process parameters .
Predict & prevent quality issues using industrial IoT & advanced analytics
Benefits
Identify
Key parameters leading to quality
issues
Optimize
Process parameters to
reduce defects
Alert
Proactive actions for
potential defects
key features
Simulator
Play out scenarios by entering different values of process parameters & analyse it’s impact on the defect probability
Recommender
Identify optimal process parameters settings through automated Insights & prescriptive analytics to optimize performance & quality
Predictor
Predict quality in real-time by identifying and monitoring process conditions that may have previously led to defect. Proactively send detailed, relevant & prioritized alerts to the operators & supervisors, with sufficient lead times
Analyze data
Live & Historical data feed from Machines, sensors, ERP, MES & other quality systems is analysed to detect patterns & establish relationships