Revolutionizing Network Intelligence
Discover how CNS leverages graph-centric AI to revolutionize telecommunications, delivering cutting-edge AI applications designed for the networks of the future.
Unlocking the True Capabilities of RAN
Today’s 5G networks have the potential to go beyond traditional connectivity, supporting a transformational wave of next-generation services that redefine user experiences and drive industry innovation. But to unlock this potential, networks need an adaptable, intelligent foundation capable of supporting the demands these new services bring.
As network operators seek to further deliver on the promise of 5G, CNS introduces a patent-pending approach to RAN intelligence—one that has the potential to transform networks from static infrastructures into dynamic, service-oriented platforms.
Building the Intelligent Backbone for Network Operations
The CNS AI engine aims to provide a full intelligence layer that enhances RAN functionality, enabling a shift from static infrastructure to a responsive, adaptive platform. Leveraging advanced AI and graph-based deep learning, CNS can enable networks to optimize performance dynamically, making context-driven adjustments across various conditions.
This operational intelligence allows carriers to manage resources efficiently, maintain optimal network quality, and respond swiftly to changing demands—all without needing a full infrastructure overhaul.
Enabling a New Era of Service-Driven Connectivity
This advanced foundation unlocks potential for a broad range of innovative applications, empowering carriers to move beyond traditional connectivity. By equipping networks to evolve and respond to specific market demands, CNS allows carriers to deliver customizable services that meet the dynamic needs of 5G, IoT, and emerging technologies. This flexibility positions operators to seize new market opportunities, enhance customer experiences, and drive sustained revenue growth.
Traditional Solutions will Fall Short
Existing Self-Organizing Network (SON) systems and simpler AI applications were designed to enhance network operations, but they were never meant to support a network capable of intelligent, service-driven evolution. While SON focuses on automating specific tasks, it’s inherently limited by rigid, rule-based designs. Similarly, most purpose-built AI solutions can provide isolated optimizations but often lack the adaptability and depth needed to support continuous, network-wide intelligence.
The CNS AI Engine
The CNS AI Engine is a RAN intelligence system that provides customers with a full, end-to-end AI infrastructure uniquely tailored for the application of graph-based deep learning models on live wireless telecommunications networks.
Comprehensive Graph ML Pipeline
End-to-end pipeline for deploying contextually-aware, graph-based AI models on live wireless networks.
Cloud Native Microservices
Efficient and scalable deployments across private or CNS-hosted cloud environments.
Accelerated Training and Inference
ML services that fully leverage accelerated hardware for high-speed AI processing.
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