Autonomous, real-time classification, analysis and resolution of radio network issues.
Continuous monitoring, AI-driven root-cause detection and closed-loop parameter optimization across all layers.
Platform Capabilities
Network Quality
Coverage, quality and capacity visibility across all radio layers.
User Experience
Per-UE performance tracking and troubleshooting at individual subscriber level.
Parameter Optimization
Data-driven RAN tuning applied autonomously with closed-loop validation.
Geographic View
Spatial visualization of coverage, quality, interference and MDT metrics.
How It Works
Issue detection and resolution are compressed from weeks to .
At Occurrence
Real-time analysis during data occurrence — no batch delays, no stale insights.
AI-based
Models classify anomalies, determine root causes and validate outcomes.
Automated
From detection to resolution with minimal manual intervention.
The D·R·C Closed Loop
Detect – identify weak situations and prioritize
Resolve – apply optimized RAN parameters automatically
Control – validate KPI impact and continuously refine
Deployment Architecture
Deployment
- Containerized application
- On-Premise inside MNO environment
- Cloud access via API or VPN
Interfaces
- Data Lake — CDRs, Counters, MDT
- Inventory data
- RF maps database
- Network configuration write-back
Operations
- Monitoring & alarming
- Backup & restore
- Update & maintenance
Control & Monitoring
Dashboards provide an instant overview of all active issues and resolutions for both radio optimization engineers and management.
Viewer
Live geographic and tabular tracking of issues and resolutions.
Dashboard
Live KPI overview, analysis results and validation monitoring.
Reports
Executive summaries with resolution .
