Watching 12,480 links right now

Network monitoring that learns what normal looks like

NetPulse AI builds a baseline for every device, link and flow, flags anomalies before users notice, and points you to the root cause instead of a wall of alerts.

Core Network · KL-DC1 Live
Throughput
0 Gbps
vs. baseline
Avg latency
0 ms
p50 across core
Packet loss
0%
last 60 s
Health score
100
AI-weighted, 0–100

Traffic vs. AI baseline

Inbound Gbps, last 2 minutes. The band is the expected range learned from 30 days of history.
Observed Expected range Anomaly

Topology health

Tap a node for details.
Select a device to see its status.

AI insights

Correlated events, newest first. Related alerts are grouped into one finding.

    Link utilisation

    Busiest uplinks right now.
    Features

    Fewer alerts, faster answers

    Static thresholds page you at 3 a.m. for nothing and miss the slow failures. NetPulse AI learns each part of your network on its own terms.

    Adaptive baselines

    Seasonal models learn daily and weekly patterns per interface, so a Monday-morning peak is normal and a Sunday-night spike is not.

    Early anomaly detection

    Spots drift in latency, jitter, errors and flow mix minutes before it turns into an outage your users report.

    Root-cause analysis

    Walks the topology to group 40 symptom alerts into one finding: the failing optic, the saturated uplink, the misconfigured route.

    Capacity forecasting

    Projects utilisation weeks ahead so you can plan upgrades before a link hits 90% at peak.

    Security signals

    Flags beaconing, port scans, unusual east-west flows and DNS tunnelling straight from NetFlow and DNS logs.

    Ask in plain English

    "Why was the VPN slow at 9:40?" gets you an answer with the evidence, not a query language to learn.

    How it works

    From raw telemetry to one clear finding

    Agentless collectors, no packet capture required, value in the first day.

    Collect

    Pull SNMP, streaming telemetry (gNMI), NetFlow/IPFIX, syslog and cloud VPC flow logs from a lightweight collector.

    Learn

    Build a per-metric baseline with daily and weekly seasonality. Most networks have a usable baseline within 24 hours.

    Detect & correlate

    Score each deviation, then use the topology graph to group related anomalies and rank the most likely cause.

    Act

    Send one actionable finding to Slack, PagerDuty or ServiceNow, with an optional runbook to fix it automatically.

    -85%

    Alert noise

    <60 s

    Time to detect

    3×

    Faster root cause

    24 h

    To first baseline

    Integrations

    Works with the gear you already run

    Cisco Juniper Arista Fortinet Palo Alto AWS VPC Azure GCP Kubernetes Prometheus Slack PagerDuty ServiceNow

    See your own network through NetPulse AI

    Connect one site in under an hour. We'll show you the anomalies your current tools are missing.