Traditional network monitoring lacks application-level visibility
Infrastructure KPIs reveal network health but provide little insight into how applications, subscribers, and services perform.
See Every Packet. Understand Every Experience.
We transform live network traffic into actionable intelligence through advanced Deep Packet Inspection (DPI), giving operators complete visibility into applications, subscribers, devices, and service performance across modern telecom networks.
Challenges
Industry Challenges
Troubleshooting becomes increasingly complex
Correlating traffic across multiple protocols, interfaces, and vendors is time-consuming, extending fault isolation and operational response.
Modern networks generate unprecedented traffic complexity
5G, IoT, encrypted applications, and cloud-native services create massive volumes of traffic that require deeper inspection and contextual analysis.
Customer experience depends on application performance
Operators need visibility into video quality, voice performance, application responsiveness, and subscriber behaviour to deliver consistently superior experiences.
Product Overview
Deep Packet Intelligence for Modern Telecom Networks
Deep Packet Inspection (DPI) provides the operational visibility needed to understand what is happening across the network in real time. Our Network Traffic Analyzer captures and analyses both signalling and user-plane traffic across Layer 3–Layer 7, transforming raw network data into actionable operational intelligence.
By correlating traffic across protocols, subscribers, applications, and devices, we create a unified view of network activity and application behaviour across 4G and 5G environments.
The Outcomes Are Clear
01
Deeper network visibility
02
Faster troubleshooting
03
Better subscriber experiences
Capabilities
Product Capabilities
Multi-Protocol Deep Packet Inspection
Capture and inspect signalling and user-plane traffic across IPX, GRX, GTP, Diameter, S1AP, NGAP, NAS, SIP, HTTP, and additional telecom protocols from a single platform.
Application-Aware Traffic Analytics
Identify applications, services, and traffic patterns at Layers 3–7 to understand how network resources are consumed across consumer, enterprise, and IoT services.
Encrypted Traffic Classification
Classify encrypted traffic using techniques such as SNI and JA3 fingerprinting to improve visibility while preserving data privacy.
Subscriber-Level Quality of Experience Analytics
Measure application latency, video quality, voice performance, session behaviour, and service responsiveness to understand the real subscriber experience.
Cross-Protocol Traffic Correlation
Automatically correlate traffic across signalling, user sessions, applications, and devices to accelerate troubleshooting and operational analysis.
Traffic Intelligence and Network Analytics
Generate actionable traffic insights through application visibility, utilisation trends, congestion analysis, and subscriber behaviour monitoring.
IoT and Device Visibility
Identify connected devices, communication patterns, and IoT traffic behaviour to improve operational awareness across expanding device ecosystems.
Slice-Aware 5G Traffic Analytics
Monitor traffic behaviour and Quality of Service (QoS) across individual network slices to support 5G Standalone deployments.
AI-Enhanced Traffic Intelligence
Apply AI/ML models to DPI telemetry to identify anomalous traffic behaviour, detect emerging congestion patterns, and strengthen traffic classification.
Process
How It Works
01
Capture Network Traffic
Continuously collect signalling and user-plane traffic across multiple network interfaces without impacting live services.
02
Decode and Identify
Deep Packet Inspection decodes telecom protocols and identifies applications, subscribers, devices, and encrypted traffic flows.
03
Correlate Network Activity
Traffic from multiple interfaces is correlated into complete subscriber, application, and session views for faster operational analysis.
04
Visualise Network Intelligence
Interactive dashboards present application usage, traffic patterns, Quality of Experience, utilisation trends, and subscriber behaviour in real time.
05
Enable Smarter Network Operations
Operations teams use actionable insights to optimise performance, accelerate troubleshooting, and improve customer experience.
Results
Key Outcomes
End-to-End Traffic Visibility
Gain complete visibility into applications, subscribers, devices, and network behaviour from a unified operational platform.
Faster Operational Troubleshooting
Accelerate fault isolation through cross-protocol traffic correlation and application-level visibility.
Better Subscriber Experience
Understand how network performance directly affects application quality and customer experience.
Smarter Capacity Planning
Analyse traffic growth, utilisation trends, and application demand to support informed network investment decisions.
Improved Operational Efficiency
Reduce manual traffic analysis through automated packet inspection, intelligent correlation, and real-time operational insights.
Ready for 5G and IoT Networks
Support evolving telecom environments with traffic analytics designed for 5G, IoT, encrypted applications, and network slicing.