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Accelerator

QAO AlarmLens

Related network alarms grouped and the likely root cause highlighted, with the reasoning shown.

The problem it solves

A single fibre cut or power failure sets off thousands of alarms. Engineers sort through them by hand while customers wait and duplicate tickets pile up.

How it works

Four steps. A person decides.

Step 1

Alarms in

Events from network elements

Step 2

Correlation engine

Groups alarms by topology and time

Step 3

Engineer review

Confirms the root cause

Step 4

Ticket and dispatch

One ticket, one fix, customers updated

What's inside

Built for the real work.

Topology-aware

Uses how the network is actually connected.

Root-cause ranking

The most likely cause first, with reasons.

One ticket per incident

Duplicate tickets suppressed.

Customer impact

Which customers and services are affected.

Built with

Event correlationTopology graphAI explainerPythonPostgresReact

Related

Use cases and case studies.

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