AI-Assisted Detection · Hub

Three AI layers. One coherent story.

"AI Monitoring" isn't one feature — it's three that work together: ETA prediction warns before a threshold is crossed, anomaly detection flags a deviation from a resource's own normal, and RCA explains what's actually happening in plain language. This page is the map; the two deep-dive pages below are the detail.

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The Three Layers

What each one actually does.

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ETA Prediction

A trend line fit on recent history, projected forward — a short-range "about to tip over" warning before a threshold is crossed.

See Predictive Alerts →

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Anomaly Detection

A self-learning EMA baseline per resource, per metric — flags a real deviation from what's normal for that specific server, container, or pod.

See Predictive Alerts →

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RCA & Chat

Deterministic root-cause explanations for every signature hit, plus a chat assistant that answers questions grounded in live data.

See AI Chat →

Coverage Matrix

Which layer runs where, today.

Asset type	ETA Prediction	Anomaly Detection	RCA	AI Chat
Servers	CPU, RAM, disk	CPU, RAM, disk	Full signature RCA	Yes
Websites	Not applicable — uptime, not a trending metric	Not yet	Via underlying server, if self-hosted	Yes
Containers	CPU, memory	CPU, memory, restart rate	Full signature RCA	Yes
Kubernetes pods	Not yet — categorical metrics only	Restart rate	No log scanning yet	Yes

Full methodology for ETA prediction and anomaly detection lives on the Predictive Alerts page.

Why This Is Honest, Not Hype

"AI Monitoring" gets used to describe very different levels of sophistication. Here's ours, specifically.

The ETA prediction is a least-squares trend fit projected a few minutes forward — powerful for "is this about to become a problem," useless for "will we need more capacity next quarter." The anomaly detection is a per-resource statistical baseline, not a deep model trained on your whole fleet's behavior. The RCA is deterministic pattern-matching for known signatures, with an LLM stepping in only for the lines that don't match anything known. None of that is a knock — it's what makes each layer explainable and trustworthy, which is the actual point.

Pairs Well With

The two deep dives behind this page

Get In Touch

Reach us directly.

Offices in India and the US — reach out and we'll get back to you.