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

other solutions