NetAI & Google Cloud: Autonomous Networks at Scale

The Partnership

NetAI and Google Cloud are collaborating to advance autonomous network operations for Communication Service Providers (CSPs). The partnership combines:

• Google Cloud's infrastructure (Cloud Spanner Graph, Vertex AI, BigQuery) for real-time, dynamic network modeling
• NetAI's Graph Neural Networks (GNNs) for deterministic, topology-grounded root cause analysis
• Proven results with MasOrange and other Tier 1 operators managing thousands of network elements

Why Graph Neural Networks?

Networks are graphs. Your AIOps platform should understand them as graphs. Unlike LLM-based solutions that generate probabilistic guesses, NetAI's GNN engine:

• Models your live network topology as a dynamic graph, updating in real time
• Delivers deterministic, explainable root cause analysis grounded in network structure
• Correlates events across protocol layers with causal reasoning, not statistical coincidence
• Eliminates hallucinations — answers are structural, not probabilistic
• Scales to millions of metrics per minute across global networks

From Insight to Autonomy

Google Cloud's Autonomous Network Operations framework defines a path from Level 3 (AI-assisted) to Level 4-5 (fully autonomous) networks. NetAI accelerates this journey by delivering:

MWC 2026: Live Demonstration

NetAI and Google Cloud are demonstrating autonomous network operations in action at Mobile World Congress Barcelona 2026. See live topology discovery, multi-layer causal analysis, and automated remediation workflows powered by GNNs and Google Cloud infrastructure.