Maximize Machine Uptime and Performance with AI Assisted Vibration Analysis

Understand operational behavior and prioritize machines that need attention.
Say goodbye to false alarms with our groundbreaking technology.

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Alarms Reimagined.
Say goodbye to False Alarms.

Our AI technology, powered by machine learning algorithms, enables unsupervised asset analysis of machines, early discovery and prevention of machine failures, and eliminates the nuisance of poorly set threshold-based alarms for remote monitoring service providers such as maintenance companies and OEMs.

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Why Viking Analytics?

Identify potentially problematic machines

Identify machines that may exhibit suspicious behavior from a large population of machines, without requiring manual threshold-based alarm settings. Eliminate the need to fine-tune thresholds according to different machine operating modes.

Predict machine failures in advance

Recognize machine operation modes and detect early signs of behavior that may indicate an impending failure.

Streamline the diagnostic process

Our system automatically recommends the most relevant measurements for further analysis, removing the need to manage large amounts of vibration data and accelerating the diagnosis process.

Seamlessly integrate with your system

Viking AI is compatible with all machines, processes, and sensor hardware. It is accessible as an API for OEMs and as software for vibration analysts and maintenance companies.

Solution Overview

Maintenance companies

Monitor machines remotely with our plans that combine vibration sensors and analytics.

Vibration analysts

Our software enables vibration analysts to analyze data and provide recommendations efficiently with AI.

OEMs

Connect your vibration data to our API and integrate MultiViz Vibration to your equipment offering.

Our Solutions

We empower vibration analysts and maintenance experts with Viking AI

Detect suspicious machines automatically without threshold-based alarms.
Identify potential pre-failure modes for any machines and processes.
Leverage Viking AI recommended timestamps for detailed diagnostics and root cause analysis with recommendations.
Label timestamps and give feedback to improve AI accuracy for automatically recognizing suspicious vibration behaviors.

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