UDMTEK

See beyond data.
Replay every moment of your process.

Gain complete visibility into every signal on the shop floor.
Analyze, trace, and replay every action over time to accelerate issue diagnosis and response—empowering predictive maintenance across your operations.

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AI-Powered Anomaly Detection - The First Step Toward Quality Stability

Enhance process reliability with intelligent detection, analysis, and adaptive insights

Stronger Quality Assurance: Reduce defect rates and prevent quality issues with early detection during production
Improved Productivity: Minimize unplanned downtime through early identification and faster resolution of abnormal processes
Reduced Maintenance Costs: Lower unnecessary repair costs by taking preventive action before failures occur
Enhanced Operational Understanding: Empower engineers with data-driven insights for faster and more effective problem solving
Long-Term Data Value: Transform operational data into a long-term competitive asset through continuous analysis and AI learning

Key Functional Features

AI-Powered Anomaly Detection and Process Prediction

UDMTEK Analyzer continuously analyzes manufacturing process data in real time to automatically detect anomalies and predict potential future risks—before they impact production

Key Capabilities

AutoML-Based Detection

Automatically identifies and applies the best anomaly detection model tailored to your process data—powered by AutoML

Unsupervised Learning

Detect anomalies quickly without requiring labeled data, using unsupervised machine learning for fast differentiation between normal and abnormal states

Real-Time Monitoring Dashboard

View current anomaly statuses at a glance, and access detailed cause analysis reports with guided response actions

Self-Adaptive AI

Continuously improves detection accuracy through retraining when process conditions or equipment configurations change

Multidimensional Data Integration & Analysis

UDMTEK Analyzer enables integrated, multidimensional analysis across equipment, individual processes, and entire production lines. By centralizing time-series data from multiple sources—such as digital signals (PLC, PC control) and analog sensor data—the platform synchronizes and correlates all streams to reveal hidden relationships across the production environment

Through an intuitive dashboard, users can:
- Visualize data flows across multiple dimensions
- Perform deep-dive analysis on specific time ranges or event occurrences
- Compare signal behaviors and trends across subsystems and process layers

With Explainable AI (X-AI), the system automatically identifies key contributing factors during abnormal events, offering structured root cause tracing for rapid issue resolution