Cutting-Edge Technology
NetAI leverages Graph Neural Networks (GNNs) to deliver precision root cause analysis, predictive maintenance, and dynamic topology mapping. These transformative capabilities empower network teams to achieve unparalleled efficiency.

Our Technology
At NetAI, we leverage the power of Graph Neural Networks (GNNs) to revolutionize network management. GNNs are purpose-built to analyze complex relationships within networks, providing unparalleled insights and solutions that traditional AI models like Large Language Models (LLMs) cannot achieve.
Why GNNs Are Transformative
GNNs excel at addressing the most challenging aspects of network management by:
Precision Root Cause Analysis: Identifying the exact source of network issues with unmatched accuracy.
Proactive Maintenance: Predicting potential failures before they occur, minimizing downtime and improving reliability.
Dynamic Topology Mapping: Automatically mapping and updating the network’s structure in real time for unparalleled visibility.
Scalability: Efficiently analyzing millions of nodes and edges without performance degradation, making them ideal for large-scale networks.
Key Features of NetAI's GNN Technology
Dual-Stage Root Cause Analysis: Rapidly detects anomalies and provides deeper diagnostics to resolve issues faster.
Predictive Maintenance: Uses historical and real-time data to forecast network behavior, preventing disruptions.
Noise Reduction: Filters out irrelevant alerts, reducing alert fatigue and enabling teams to focus on critical issues.
Automation and Self-Healing: Links root causes to automated playbooks for immediate remediation.
To learn more about how GNNs work and why they’re transformative for network management, click the button below.
[Learn More About GNNs]