NetAI

Use Cases

Built for your network.

Whether you operate a global service provider network, an enterprise campus, or a hybrid cloud environment, NetAI™ adapts to your topology and delivers deterministic answers for every incident.

Service Providers & Tier 1 Operators

From regional ISPs to global Tier 1s. Fewer escalations. Faster resolution. Happier subscribers.

Products:NetAI Core + GraphIQ + EdgeView

Service providers of every scale manage massive, distributed networks where a single root cause can cascade into thousands of subscriber-impacting events. Whether you operate a regional ISP, a national broadband provider, or a global Tier 1 carrier, NetAI maps your entire topology in real time, correlates alerts across layers and vendors, and identifies the root cause in minutes, often seconds. The result: fewer escalations, faster MTTR, and a measurable reduction in support call volume across your entire subscriber base.

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Key Capabilities

  • Real-time topology mapping across access, aggregation, core, and transport
  • Multi-protocol correlation (SNMP, syslog, NetFlow, NETCONF, gNMI)
  • Automated ticket creation with root cause context
  • 50%+ reduction in support calls with EdgeView
  • Scales to millions of metrics per minute across global footprints
  • Proven with operators managing thousands of network elements

Enterprise Networks

One platform to replace your entire monitoring stack.

Products:NetAI Core + GraphIQ

Enterprise IT teams juggle multiple monitoring tools, each with its own view of the network. NetAI consolidates monitoring, troubleshooting, analytics, configuration management, and automation into a single, vendor-agnostic platform. GNN-powered root cause analysis cuts through alert noise and gives your NOC team deterministic answers, not probabilistic guesses.

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Key Capabilities

  • Vendor-agnostic: every brand, every model, every protocol
  • Tool consolidation: replace 4-5 point solutions
  • Config management with rollback and change logging
  • ITSM integrations (ServiceNow, Jira, BMC Remedy, Zendesk)
  • Operational within 2 hours after hardware is in place

Cloud & Data Center

Graph intelligence for hybrid and multi-cloud complexity.

Products:NetAI Core + GraphIQ

Cloud and data center environments are inherently dynamic. Workloads shift, topologies change, and incidents span physical and virtual layers. NetAI's GNN engine models these environments as living graphs, detecting anomalies, correlating events across layers, and surfacing root causes that span compute, storage, and network infrastructure.

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Key Capabilities

  • Hybrid and multi-cloud topology discovery
  • Cross-layer event correlation (physical + virtual)
  • Predictive anomaly detection
  • Automated remediation workflows
  • On-prem, cloud, or hybrid deployment

Why GNNs, not LLMs?

Networks are graphs. Your AIOps platform should understand them as graphs.

LLM-Based AIOps
  • Probabilistic outputs, best guesses
  • Black-box reasoning, not explainable
  • Trained on generic data, not your network
  • Hallucination risk in critical decisions
  • Cannot model real-time topology changes
NetAI™ GNN Engine
  • Deterministic outputs, traceable answers
  • Explainable reasoning grounded in topology
  • Trained on your live network graph
  • No hallucination, results are structural
  • Real-time topology updates and correlation

See how NetAI fits your environment

Every network is different. Our team will tailor a demo to your specific topology, protocols, and operational challenges.

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