Policy Decisions Without Application Intelligence
Legacy policy systems prioritize traffic using static subscriber rules without understanding real-time application behavior or service criticality.
We transform policy control into an AI-driven decision engine that dynamically optimizes subscriber experience, application performance, network efficiency, and monetization across 4G and 5G networks in real time.
Product Overview
Intelligent Policy Control is a cloud-native, AI-integrated policy orchestration platform that unifies PCRF and PCF capabilities with real-time DPI intelligence across 4G and 5G networks. The platform combines application-aware traffic classification, AI-driven policy optimization, and real-time charging integration to dynamically manage QoS, monetization, and subscriber experience. By integrating with charging systems, OSS/BSS, and enforcement functions, it enables intelligent, context-aware policy decisions at scale.
Capabilities
Classify and analyze 2,000+ applications and encrypted traffic flows in real time for precise, application-aware policy enforcement.
Use AI and machine learning to predict congestion, automate QoS decisions, and dynamically optimize policy outcomes continuously.
Manage PCRF and PCF policies from one centralized platform with consistent enforcement across LTE and 5G networks.
Enable zero-rating, sponsored data, tiered QoS, and slice-aware monetization with real-time application-level traffic intelligence.
Deliver sub-50ms policy decisions, 20,000+ TPS, and cloud-native scalability for high-volume telecom environments.
Process
The platform ingests subscriber profiles, DPI intelligence, charging data, network conditions, and business rules in real time.
AI and ML models evaluate application behavior, subscriber context, and congestion patterns to optimize policy decisions dynamically.
QoS policies, charging actions, traffic prioritization, and bearer controls are enforced instantly across network enforcement functions.
The platform continuously analyzes policy outcomes and network behavior to refine performance, efficiency, and monetization automatically.
Results
Enable differentiated QoS, sponsored data, and application-aware monetization models that increase data service revenue potential.
AI-driven optimization dynamically allocates resources based on real-time demand, reducing congestion and improving utilization.
Application-aware policies prioritize latency-sensitive services automatically, improving QoE for video, gaming, and voice applications.
A unified policy environment eliminates duplicated rule management and streamlines operations across LTE and 5G networks.
Launch slice-aware enterprise services and premium QoS offerings faster with built-in monetization and policy orchestration capabilities.
AI-powered anomaly detection identifies policy abuse, unauthorized tethering, and bypass attempts in real time.