From warehouse data to business signal — in days, not quarters
AnomalyGuard watches the metrics that run your business — sales, occupancy, volumes, margins — and flags the changes that need attention.
Deploy on Azure Marketplace or as Docker in your own environment, connect your databases, define what to monitor, and deliver prioritized anomalies to people and systems that act on them. Your data stays in your infrastructure — nothing is sent to third-party AI.
Deploy where you already run
Install via Azure Marketplace as a managed application, or run Docker on your own infrastructure.
No multi-month BI project — you get a working environment in hours, with Microsoft Entra ID sign-in for your organization.
Connect your existing data
Point AnomalyGuard at the databases you already trust — PostgreSQL, SQL Server, Snowflake, Oracle, and more.
Read-only access to what you choose. No migration, no copy of your warehouse to a vendor cloud. Security and compliance stay under your control.
Define what the business cares about
Create data views — monitoring definitions for the KPIs that matter: revenue by country, occupancy by hotel, volume by channel.
You choose dimensions, grain, and scope. Plans scale by how many data views you run — not by how many people use the results.
Detect changes that deserve action
Turn on detectors for spikes, drops, gaps, shifts, seasonality, targets, and more — tuned with the people who own the metric.
The goal is not more alerts. It is fewer false positives and a clear list of what changed and why it matters.
Automate the watch
Schedule loads and detection to match how the business runs — daily ops reviews, weekly leadership packs, or continuous monitoring.
Once set, the system keeps scanning so analysts stop hunting and start deciding.
Give the whole company access
Sign people in with Entra ID and grant access to the data views they need.
Unlimited users on every plan — HQ, regions, and ops teams can all consume insights without buying seats.
Deliver the right lens to each role
Saved filters turn one data view into role-ready briefings: leadership sees the company, a region manager sees their area, ops sees today’s exceptions.
Less noise for everyone — same underlying detection, different business lens.
Act in the tools you already use
Review priorities on Home, share context with comments, or pull the same signals through API and CLI into alerts, workflows, and AI agents.
Detection stays in one place — decisions happen wherever your teams already work.