See Network Failures Before They Happen
OutageClockIQ AI delivers pre-outage signal briefs so independent operators can act first, not scramble last.
Signal Categories
Browse the full catalog of pre-outage intelligence briefs available on the marketplace.
Featured Signal Briefs
Curated reports from top-performing signal providers in the OutageClockIQ marketplace.
BGP Routing Instability Brief
Detects anomalous BGP path changes 30–90 minutes before a route flap cascades into an outage event.
View Brief →Upstream Degradation Alert
Correlates upstream transit provider latency spikes with downstream subscriber impact zones — before they feel it.
View Alert →CPE Health Score Report
Aggregates client premise equipment telemetry across your subscriber base into a single degradation score.
View Report →Capacity Exhaustion Forecast
Predicts sector capacity exhaustion 2 weeks out so your network team can plan upgrades, not react.
View Forecast →Fiber Cut Correlation Brief
Cross-references physical layer telemetry with last-mile fiber route maps to flag cuts within a 500m radius.
View Brief →DNS Resolution Failure Warning
Identifies recursive DNS degradation patterns that precede upstream resolver failures by up to 20 minutes.
View Warning →SNR Degradation Alert
Monitors signal-to-noise ratios across fixed-wireless sectors and alerts when degradation exceeds normal variance.
View Alert →Weather Impact Correlation
Overlays NOAA storm data with your tower telemetry to surface weather-driven interference before it causes drops.
View Correlation →How It Works
Get from signal to action in three steps.
Connect Your Telemetry
Link your existing SNMP, NetFlow, or syslog data sources in under 15 minutes. No proprietary hardware required — we work with the tools you already have running.
Configure Your Alerts
Set threshold alerts for the metrics that matter most to your network. Our ML models suggest baselines based on your topology and traffic patterns.
Receive Actionable Briefs
Get SMS and email alerts with a pre-outage degradation score, affected subscriber estimate, and a specific, prioritized next action — not a raw log dump.
What Operators Are Saying
Real stories from independent ISPs using OutageClockIQ AI to protect their subscribers.
We caught a router instability event 47 minutes before it would have taken down three sectors. That 47 minutes saved us an estimated $14,000 in truck rolls and churned subscribers.
Before OutageClockIQ, I was manually checking graphs every two hours. Now I get a single SMS with the sector, the anomaly type, and exactly what to check first. Game-changing.
We operate on razor-thin margins. Preventing one $8,000 emergency dispatch in Q3 paid for a full year of the service. The ROI case practically writes itself.
The BGP routing brief flagged an upstream provider's degraded peering session on a Friday afternoon. We rerouted traffic and our subscribers never felt a thing. That one alert was worth the subscription.
FAQ
What exactly does OutageClockIQ AI deliver?
OutageClockIQ AI delivers **pre-outage signal briefs** — structured intelligence reports that surface network degradation patterns *before* they cascade into a full outage. Each brief includes the signal type, affected network segment, a degradation confidence score (0–100), estimated time-to-impact, and a specific recommended action. Think of it as a weather forecast for your network: not a guarantee of failure, but a high-probability early warning.
What data sources does it connect to?
OutageClockIQ integrates with the telemetry stack most regional ISPs already operate. Supported sources include SNMP polling (Ubiquiti, MikroTik, Cisco, Arris), NetFlow/sFlow export, syslog streams, and API connections to major upstream transit providers. If your monitoring tool can export data, we can ingest it. The onboarding wizard walks you through the connection in under 15 minutes.
How is this different from Nagios, PRTG, or SolarWinds?
Traditional monitoring tools show you *what is happening* — a threshold breach, a graph trending red, a service down. OutageClockIQ AI shows you *what is about to happen* and *what to do about it*. We sit on top of your existing monitoring stack and add a predictive intelligence layer. You don't replace Nagios; you add pre-outage context that Nagios can't generate on its own.
How long does it take to see results?
Most operators see their first actionable brief within 48 hours of connecting their telemetry sources. Our ML models refine baseline models over the first 7–14 days as they learn your network's normal variance patterns. After the calibration window, alert precision improves significantly — reducing false positives while catching real pre-outage events.
Is there a free trial or proof-of-concept option?
Yes. We offer a **30-day free trial** with full platform access — no credit card required. For operators who want to validate the ROI case before committing, we also offer a **$500 one-month proof-of-concept**: we configure monitoring for your top 3 risk areas, deliver briefs daily, and give you a before/after analysis of what we caught. Operators who run the POC convert to paid plans at over 80% — because the signals speak for themselves.
Can I customize the alerts and thresholds for my specific network topology?
Absolutely. Every network is different — a 5,000-subscriber fixed-wireless network in mountainous terrain has different risk profiles than a 50,000-subscriber hybrid fiber-coax network in the Midwest. OutageClockIQ allows you to configure per-sector thresholds, choose which signal types to enable, set alert escalation chains (who gets notified first, second, and third), and select your preferred delivery format: SMS, email, webhook, or Slack.
Protect Your Network. Protect Your Subscribers.
Join 3,000+ regional ISPs using pre-outage intelligence to prevent downtime before it starts.