Detect network anomalies before they affect users
Spot deviations, identify the cause, and act faster with AI-powered anomaly detection built for mobile operators.
Why Anomalies Still Slip Through
Static thresholds and basic alarms can't keep up with modern mobile networks. Some problems hide in plain sight, masked by average KPIs or complex correlations. Others slip through the cracks entirely.
Our anomaly detection engine goes beyond the surface. It uncovers hidden issues, reveals root causes, and helps you act before customers notice.
KPI deviations that move together can escape human eyes
Engineers waste time chasing false alarms or benign fluctuations
Quality degrades without visible warning signs
From deviation to diagnosis, powered by AI
Here’s how our anomaly detection engine works in practice.
Monitoring
Continuously monitors every cell and KPI across the network, updating every 15 minutes
Detection
Uses multi-dimensional AI models to detect abnormal patterns and behaviours
Classification
Classifies anomalies by category: performance degradation, configuration inconsistencies, interference effects, and more
Segmentation
Segments results by location, user cluster, time window, and more
Our anomaly detection engine goes beyond the surface. It uncovers hidden issues, reveals root causes, and helps you act before customers notice.
Key Benefits
Find issues faster
Detect silent degradations early, reducing impact on QoS and user experience.
Cut false positives
Stop wasting time on irrelevant alerts. Our models highlight what matters most.
Go from alert to insight
Correlate deviations with their likely causes and understand where to focus.
“O2 climbed one position in independent rankings after deploying our anomaly detection and root cause analysis engines.”
Want to see what your thresholds are missing?
Schedule a walkthrough of our anomaly engine in action.
