ENABLING INDUSTRY 4.0

WITH AI

We help asset-heavy companies to predict and prevent expensive machine downtimes and performance degradations of their processes and assets.

MULTIVIZ

A powerful data navigation tool built to help asset-heavy companies to reduce maintenance costs and optimize performance.

VA

Detect abnormalities in your machines behavior

VA

Understand root cause for machine failures and anomalies.

VA

Predict health condition of your machines.

VA

Search for interesting events and remember their unique fingerprints.

MULTIVIZ

A powerful data navigation tool built to help asset-heavy companies to reduce maintenance costs and optimize performance.

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VA

Detect abnormalities in your machines behavior

VA

Understand root cause for machine failures and anomalies.

VA

Predict health condition of your machines.

VA

Search for interesting events and remember their unique fingerprints.

More Awesome Features

We want to empower experts in asset-heavy companies with analytics and AI to analyze, monitor and predict the operational performance of their assets and processes.

For more information,

Download our Brochure or Talk to us

teamThe Team

VA is backed by a highly experienced team deeply specialized in the areas of machine learning, AI, analytics, manufacturing and industrial processes.

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"We will help you to achieve your asset and process performance goals ,- be it reliability, profitability, quality, efficiency."

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"Operational data is a prized asset. This data tells stories, and we will help you to capture them and draw insights."

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"We will enable you with AI in your journey towards a smart factory. We will help you to financially optimize maintenance strategies and realize unprecedented operational efficiencies."

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"Our user-friendly, state-of-the-art analytics tools will enable you to start your digital journey, and help to solve problems related to your assets and processes faster and smarter."

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teamOur Latest News
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icon +46 709 901 222
icon info@vikinganalytics.se
icon Lindholmspiren 2, 417 56 Göteborg, Sweden
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