Use case · Change intelligence

Turn every change from a gamble into a prediction.

Most outages start with a change that looked safe. Phantom models the impact before you ship — and proves what actually changed after — with an AI that runs entirely on your infrastructure.

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How Phantom does it

Digital twin plus on-prem AI.

Capture a pre-change and post-change digital twin — configs, routes and neighbors — tied to a change record.
A self-hosted LLM predicts impact, blast radius, risk and rollback in plain English.
Diff the twins after execution to catch unintended drift nobody logged.
Every change carries an immutable audit trail — ready for governance and regulators.

Example

An engineer proposes withdrawing a prefix. Phantom predicts 40 downstream routes will shift to a backup path and flags two that would briefly black-hole. The plan is adjusted before it ships; afterward, the twin confirms exactly what changed.

Digital twinOn-prem AIDrift detectionAudit trail

Turn every change from a gamble into a prediction.

Digital twin plus on-prem AI.

Predict your next change before you ship it.