Our
AI Sarah
Net Monitoring
An AI-powered network monitoring assistant that watches your entire infrastructure, explains anomalies in plain English, and recommends actions before small issues become outages. Sarah doesn't just alert | she tells you what it means and what to do next.
Logs nobody reads, alerts nobody understands.
Most network monitoring tools produce walls of data | raw logs, threshold alerts, traffic graphs | but none of it explains what's actually happening or what to do. Engineers get paged at 2am for a Zabbix alert that says "ICMP timeout on 192.168.1.44" and then spend 30 minutes figuring out if it even matters.
The problem isn't lack of data. It's that the tools speak machine, not human. Teams end up ignoring most alerts because they can't keep up with the noise, and real incidents slip through.
An AI that speaks to you, not at you.
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✦Sarah AI engine | an LLM-powered assistant that reads your network telemetry and explains what's happening in plain English, in real time
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🔔Smart alert triage | Sarah correlates related alerts, filters noise, and surfaces only what actually needs your attention, with context
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🗺️Live topology map | visual, interactive graph of your entire network with real-time health status per node and per link
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💬Natural language queries | ask Sarah "which switches had packet loss yesterday?" and get a direct answer, not a query builder
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📊Traffic analysis | bandwidth trends, top talkers, unusual flow patterns | all surfaced automatically with AI commentary on anomalies
Core capabilities.
AI Alert Engine
Sarah reads incoming telemetry, correlates events across devices, suppresses noise, and writes a human-readable incident brief for every real issue.
Network Topology
Live, interactive map of every node, switch, router, and link. Color-coded by health. Click any device to see Sarah's latest status assessment.
Traffic Analysis
Bandwidth consumption per interface over time. Top talkers, protocol breakdown, anomaly detection, and AI commentary when patterns deviate from baseline.
Sarah Chat
Ask anything about your network in natural language. Sarah queries the telemetry database, interprets the results, and answers directly | no SQL, no filters, no dashboards.
Every screen,
one AI behind it.
From the live network overview to the Sarah chat panel | every view is powered by the same AI engine, giving every engineer on your team the same situational awareness as your most experienced network admin.
Network Overview
The command center. Total devices, live alert count, uptime percentage, and Sarah's current network health summary at the top | then the full topology map below. One view, full picture.
Live View AI SummarySarah Chat Panel
The natural language interface. Ask "What's causing the latency on Floor 3?" or "Which devices haven't been seen in 24 hours?" | Sarah pulls from live telemetry and answers directly, with source references.
Natural Language LLM-PoweredLive Alert Feed
Prioritized, AI-triaged alert list. Each alert comes with Sarah's brief | what triggered it, what it likely means, and a recommended action. No raw SNMP OIDs, no threshold strings, just context.
AI-TriagedNetwork Topology Map
Interactive graph of your entire network. Nodes colored by health status | green/yellow/red. Click any device to open Sarah's current assessment: uptime, recent events, linked alerts.
InteractiveTraffic Analysis
Bandwidth charts per interface, top talkers ranked by volume, protocol distribution, and anomaly highlights. Sarah auto-annotates the graph when a spike or pattern shift warrants attention.
Anomaly DetectionDevice Detail Panel
Deep-dive on any single device | interfaces, uptime history, last 100 events, open alerts, and a Sarah context block explaining the device's current state and recent behavior patterns.
Per-DeviceAI-Generated Incident Reports
When an incident resolves, Sarah auto-generates a post-incident report: timeline of events, root cause analysis, affected devices, and recommended follow-up actions. Human-readable, shareable, exportable | no manual write-up needed.
Auto-Generated RCA PDF Export
How Sarah is built.
React + Vite
Fast, responsive frontend with live topology graph (D3/Force), real-time alert feed, and Sarah's chat interface | all reactive and socket-driven.
Node.js + Socket.io
Event-driven backend ingesting SNMP traps, ICMP polls, syslog, and NetFlow. WebSocket push to the frontend for sub-second alert delivery.
LLM / AI Layer
Sarah's intelligence layer | processes telemetry context, generates natural language explanations, handles chat queries, and writes incident reports autonomously.
PostgreSQL + TimescaleDB
Time-series optimized storage for network metrics, event logs, and alert history. Supports Sarah's historical query answering with millisecond indexed lookups.