The product · AutoNOC

Autonomous NOC operations that run entirely inside your walls.

Five specialized agents on fine-tuned open-weight models. No cloud calls, no data egress. Every proposed change is pre-validated against a digital twin before a human is ever asked to approve it.

Scope a 90-day pilot → Start with a workshop →

Why now

The tools that could cut your NOC toil aren't allowed in your building.

The alerts never stop

Night-shift triage, repeat incidents, tribal knowledge locked in a few senior heads. Your best engineers spend hours on work an agent should own.

Cloud AI can't come in

SaaS AIOps means shipping configs, telemetry and topology off-site. For telcos, finserv, public sector and critical infrastructure, that's closed by policy and by regulators.

Autonomy without guardrails is a liability

Nobody sane lets an LLM push config to production unchecked. Without pre-validation and human-in-the-loop, "autonomous" is a word that ends careers.

Generic copilots don't close incidents

A chat window that suggests commands isn't operations. AutoNOC takes a signal to a validated, approved change — on your terms.

The architecture

Five agents, plain language.

Each stage does one job and hands off to the next. Nothing improvises against production.

Detect & triage

Filters the flood down to incidents that matter, using your alert sources and severity logic.

Diagnose

Reasons over a Neo4j knowledge graph of your topology and dependencies to find likely cause, not just symptom.

Plan

Drafts a remediation by selecting from a deterministic execution catalogue of vetted, known-good actions.

Validate

Pre-tests the change in a Containerlab digital twin — a mirror of your network — before anyone approves it.

Execute

Applies the change under the human-in-the-loop tier you set, and records what happened.

Why you can trust it

The guardrails are the product.

Digital-twin pre-validation

Every change is tested in a Containerlab mirror of your network before a human is asked to approve it. No blind pushes to production.

Deterministic execution catalogue

Agents don't invent commands. They select from a vetted, versioned catalogue of known-good actions — auditable and repeatable.

Tiered human-in-the-loop

You decide what runs automatically and what waits for sign-off, by risk tier. Autonomy you dial up as trust is earned.

On-prem small language models

Fine-tuned open-weight SLMs (Qwen / Mistral / Llama) on your hardware. Air-gap capable. Your data never trains anyone else's model.

How you buy it

A scoped 90-day pilot. One metric. Agreed in writing.

You never commit to a rollout before you've watched AutoNOC hit a number you set — on your own hardware.

Scope — week 0

We pick one agent, one workflow, and one success metric together, and put it in writing before anything starts. From €25,000, scoped per proposal.

Build & run — on your hardware

AutoNOC is stood up in your environment. Digital-twin validation and your human-in-the-loop tiers are configured to your change process.

Measure — day 90

We hold it against the metric we agreed. A clear yes/no — not a 200-page deck. Hit it, and scaling to more workflows is a formality.

What "success in writing" means

A number both sides sign before week 1 — e.g. a defined class of incidents handled end-to-end within your guardrails. No moving goalposts.

Where it runs

Your data centre, your hardware, your network. Air-gap capable. Nothing is sent to a cloud API at any point.

The product family

Cairn sees it. AutoNOC acts on it.

Know your exposure before you automate against it — both designed to run inside your walls.

Cairn · detect

Full-stack security posture — vulnerabilities, misconfigurations and exposures across cloud, hosts, apps and network. On-prem by design. Open the live demo →

AutoNOC · act

Autonomous agents that take a validated signal to an approved change — under your human-in-the-loop tiers. Bought as a scoped 90-day pilot.

Before you ask

Sovereignty, models, hardware, scope.

Does any data leave our network?+
No. AutoNOC runs on open-weight models on your hardware. Configs, telemetry and topology stay on-prem. It's designed for air-gapped environments and never calls a cloud API.
Which models do you use?+
Fine-tuned open-weight small language models — Qwen, Mistral or Llama family — chosen and tuned for network diagnostics. Open weights mean no vendor lock-in and full control.
What hardware do we need?+
It runs on on-prem GPU servers sized to your workflow. We size it with you during scoping; a pilot targets one workflow, so the footprint is modest to start.
How is a pilot scoped and priced?+
One agent, one workflow, one written success metric. From €25,000, scoped per proposal against your environment. A prior workshop credits 100% toward it.
What if the metric isn't hit?+
You get a clear, honest yes/no at day 90 and the evidence behind it — not an open-ended engagement. We agree up front what "done" looks like.

One call. Fifteen minutes.

Tell us your environment. We'll tell you if a pilot fits.

You describe your network and the workflow that hurts most. We tell you whether a pilot, a workshop, or honestly someone else is the right call.

Book a 15-minute fit call →