Getting started

Configure global settings in Multiviz to ensure consistent units, alerts, and visualisation across all assets — streamlining analysis and notifications platform-wide.

See how users integrate Multiviz into their workflow — streamlining monitoring, analysis, and collaboration into one efficient, click-through process.

The Customer Overview Page is your central hub in Multiviz — giving a complete view of machine health, sensor status, and priority alerts, so you can quickly see what’s stable, what’s changing, and where to focus.

Admins can easily add new users in Multiviz, assign roles and languages, and send activation links or emails — managing access levels from Viewer to Tenant Admin.

Getting your machines and sensor data into Multiviz is a key part of the onboarding process — and our team handles this setup for you. This page outlines how it works and what’s needed to ensure a smooth start.

Multiviz connects to your existing sensors using two main methods:

• MQTT Protocol (Preferred) – Ideal for real-time monitoring with wireless sensors.
• API Integration – Best for existing systems with established data management platforms.

Our onboarding team (Sergio & Kaveh) will create your Multiviz account, configure integrations, and connect your sensors through MQTT or API. You’ll need to provide basic details such as sensor brand, data access method, and any encoding documentation.

Once connected, data flows securely into Multiviz for real-time insights and alerts. Setup typically takes 1–2 weeks, depending on system complexity and availability.

After onboarding, you’ll have a fully customized dashboard with machine health tracking, alerts, and collaboration tools — ready to help your team turn data into action.

Take a quick interactive tour of Multiviz — click, hover, and explore the interface to learn key features and daily workflows.

Multiviz is an AI-powered machine monitoring tool that helps vibration analysts understand how and why machines change — highlighting behavioural shifts, trends, and anomalies for faster, clearer decision-making.