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Infrastructure Monitoring · live demo

Catch problems before they bring you down

Servers don't fail silently, they warn you first. Our AI monitoring watches every device in your network and catches anomalies before they escalate. Side-by-side: the same incident in an unmonitored vs. monitored office.

80%caught before crash
0downtime incidents
24/7device monitoring
Live demo

How it actually works, step by step

No engineering jargon, no system migration as a prerequisite. This is exactly what the client gets the day we go live.

  1. 01

    1) Agent deployed in an hour

    One agent per server, switch, POS, smart-lock. Lightweight, local cache, no VPN required. Coverage typically inside a day.

    Servers POS WAN 142 online
    Agent deployed in < 1 h, no VPN, with local cacheSSH
  2. 02

    2) AI learns the normal

    Within 24-72 hours AI builds a baseline per metric (CPU, latency, error rate, packet loss). No manual thresholds.

    Baseline · 14 days learned
    CPUµ 42 % · σ 8 %
    Latencyµ 38 ms · σ 6 ms
    Error rate0.04 %
  3. 03

    3) Catches drift before a crash

    "This drive is starting to misbehave", "this link is gradually degrading". AI raises an alert with a confidence score.

    Anomaly · srv-app-03
    Disk WAIT rising last 30 min (µ 8%, now 31%). Failure probability < 4 h: 78%.
  4. 04

    4) Auto-ticket with a runbook

    Confirmed incident becomes a ticket in Jira / ConnectWise with a suggested runbook from your knowledge base. On-call gets a Slack alert.

    Jira · auto-ticketOPS-2841
    Hostsrv-app-03
    PriorityP2
    On-call@petr.k
  5. 05

    5) Fix suggestion + auto-mitigation

    AI suggests a fix based on similar past incidents. For approved scenarios (reroute traffic, restart service) AI performs the mitigation itself.

    Runbook from history3 similar incidents · avg fix 18 min
    Auto-mitigationTraffic rerouted to srv-app-04
Who it fits

Tailored to your type of operation

MSPs and outsourced IT

One pane of glass across every client estate. Per-client SLAs, billing-ready uptime reports, white-label client portal.

Finance + NIS2-regulated

Monitoring with the audit depth a regulator expects. Configuration drift detection, change approval log, downtime reporting in NIS2 format.

Multi-location retail

POS terminals, payment links, in-store WiFi at dozens of stores. Catches a Friday-night POS outage before the store manager calls support.

Healthcare IT

PACS, EHR, lab interfaces. Watches the boring infrastructure under the medical workflow so a clinic does not lose half a day to a network blip.

Hospitality + PMS uptime

PMS, channel manager, door locks, WiFi captive portal. Alerts the front desk if a door-lock controller goes down before guests start calling.

SaaS ops + small platform teams

App + DB + queue + edge. AI on top of your existing Datadog / Grafana that triages noise and surfaces the one alert that matters.

What the AI handles

Features you get from day one

24/7 device + service monitoring

Servers, switches, POS, payment terminals, smart-locks, printers, SaaS endpoints. One agent, one console.

Predictive anomaly detection

AI baseline per device. Catches "this drive is starting to fail" or "this link is gradually degrading" before it crashes.

Auto-ticketing + runbooks

Every confirmed incident becomes a ticket in your ITSM with a suggested runbook from your knowledge base. No manual triage step.

Distributed agents

Lightweight agents on edge devices, branch offices, factory floor. Local cache so a WAN outage does not blind the system.

SLA + uptime reporting

Per-client, per-service uptime reports in PDF or via API. Auto-generated end of month with the right calculation.

ITSM + ticketing integration

Jira Service Management, ServiceNow, ConnectWise, Atera, HaloPSA, Halo. Two-way sync so the alert and the ticket stay aligned.

Slack + Teams alerts

Right-size alerts in the right channel. Critical pages on-call, info goes to a digest. AI keeps the noise down.

Maintenance windows

Suppresses alerts during planned change windows, applies after-hours rules per device class. No more 2 AM pages during a planned reboot.

Customer perspective

Step by step on the user side

  • Withoutserver crashes → whole team offline → lost hours
  • WithAI detects at 80% → ticket created → traffic rerouted → zero disruption
Owner perspective · it manager

IT Manager

Real-time visibility across all endpoints
automatic incident tickets
predictive alerts before failure
Integrations

Plugs into your existing stack

PMS platforms, channel managers, smart locks and messaging channels. If your system isn't listed, just ask, most integrations ship in a few days.

  • Zabbix
  • Nagios / Icinga
  • Datadog
  • PRTG
  • Grafana / Loki
  • Microsoft Defender for Endpoint
  • ConnectWise / Atera
  • Jira Service Management
  • Slack + Microsoft Teams
  • SNMP / WMI / SSH agents
Why it makes sense

What this solution gives your business

Live in weeks
No months of prep work. We launch a pilot in weeks and roll out the full deployment right after it validates.
Your data stays with you
Runs on your infrastructure or an EU region. Encryption, audit logs, GDPR and NIS2 compliance are the baseline.
Custom integrations
CRM, ERP, helpdesk, e-shop, phone system, we connect to your existing stack instead of rewriting it.
Long-term ownership
Monitoring, model tuning, regular reports. We don't just hand over the project, we own the outcome with you.
Ready for a demo of your own?

Your Idea? We'll Build It.

Every business is unique. Tell us what takes your team the most time, and we'll design an AI agent tailored exactly to your needs. From concept to deployment in weeks, not months.

Let's Discuss Your Idea