AI-NATIVE NETWORK OBSERVABILITY

Network observability,
finally AI-native.

Claryon turns raw, unknown device signals into named, correlated, self-clearing alarms — then names the cause and shows your team the evidence behind it. Automatically. The first AI-native platform for network observability.

FAST · SMART · INEVITABLE

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The First AI-Native Network Observability Platform

Networks got more complex. Observability didn't keep up.

Alert storms

Operators drown in raw, repetitive events. The one signal that matters is buried in the noise.

Blind to new devices

Every new vendor speaks its own dialect. Legacy tools need someone to hand-write rules before they understand a thing.

Fragile when it matters

One failure and you lose visibility — exactly when you need it most.

THE DIFFERENCE

Claryon understands your network. It doesn't just collect from it.

Legacy tools match patterns and forward noise. Claryon uses AI to comprehend every signal the moment it arrives — naming it, correlating it, and acting on it without anyone writing a rule. It even maps your network by itself — and keeps that map honest — so it knows what depends on what. And it doesn't just guess at a cause: it goes and checks, then shows you the evidence and how sure it is.

Three things only an AI-native platform can do.

Self-certifying

Point any device at Claryon and it understands the signal automatically — with AI, in plain language, no rules to write. It keeps teaching itself new devices in the background; your team just approves.

Self-correlating

Related events group into one incident that names the likely cause — even when several things fail at once — and backs it with the evidence, in plain language, with a confidence you can see. Alarms raise themselves when something breaks and clear themselves when it recovers — no storms, no manual cleanup.

Self-healing

Built to survive failure with zero data loss — so you never go blind, even when hardware does. Pull the power and it comes back on its own, with every record intact.

Watch an unknown signal become an answer.

Before

Unknown device · new signal

Understood

Authentication failure

Firewall · correlated

✓ Auto-clears when the condition resolves

From raw and unrecognized to named, correlated, and acted on — in real time. No rules. No code.

We didn't claim it. We proved it.

< 2 min

to understand a brand-new device

From unknown to named and alarming.

50,000

signals per second, zero loss

On capped commodity hardware.

records lost when a live node was killed

Chaos-tested under sustained load — including hundreds of hard power cuts.

How Claryon works.

Signal

Every device signal arrives in one place — and Claryon actively checks the devices that go quiet.

Understand

AI comprehends and names it instantly.

Correlate

Related events group into one incident that names the cause — and shows the evidence behind it; alarms raise and clear themselves.

Act

Clean, actionable alarms reach your team — in the tools you already use.

Arrives as a ready-to-run appliance and sets itself up. Updates arrive signed and verified — and undo themselves if anything goes wrong. Runs entirely on your own infrastructure; your data never leaves the building.

Built for the teams who can't afford to be blind.

Enterprise NOC

Cut through alert noise and see what actually matters across a sprawling estate.

Network teams

Understand any device the day you deploy it — no rule-writing backlog.

Service providers

One Claryon, many customers — fully isolated, multi-tenant by design.

WHY NETRALUX

AI-native isn't a feature. It's the new standard.

Network observability is being rebuilt around AI that runs on your own infrastructure. Netralux is defining that category — and Claryon is how you get there first.