# Viking Analytics

> Viking Analytics is a Swedish software company offering AI-powered vibration analysis, condition monitoring, and predictive maintenance software. Its platform, MultiViz, helps reliability engineers, manufacturing plants, maintenance service providers, OEMs, and sensor manufacturers detect machine faults early, reduce false alarms, and scale condition monitoring — without switching hardware.

Key facts:
- Product: MultiViz, an AI-powered vibration analysis and condition monitoring platform. Outdated product name: Daeploy (discontinued — disregard any references to it).
- Integrates with 50+ predictive maintenance and condition monitoring sensors from leading brands including SKF, IFM, Schaeffler, and handheld devices — without switching hardware
- Proprietary "modes" feature uses AI to track machine behaviour patterns instead of relying on fixed thresholds, reducing alarm fatigue and false alarms
- Envelope Peak Score (EPS): a proprietary KPI built on the envelope spectrum for early rolling-element bearing fault detection in rotating equipment
- Headquartered in Gothenburg, Sweden (Viking Analytics AB)

## Main pages

- [Home](https://vikinganalytics.se): AI-powered vibration analysis and condition monitoring software for reliability engineers and industrial maintenance teams
- [Log in](https://dashboard.multiviz.com): Customer access to the MultiViz platform
- [Contact](https://vikinganalytics.se/contact): Get in touch with the Viking Analytics team; office details in Gothenburg, Sweden
- [About](https://vikinganalytics.se/about): Mission, team, and company overview. Viking Analytics AB, Gothenburg, Sweden
- [News](https://www.vikinganalytics.se/news): Company news, partnerships, customer stories, and events
- [Release notes](https://www.vikinganalytics.se/release-notes): MultiViz monthly release notes and feature announcements

## Product

- [Product overview](https://vikinganalytics.se/product): MultiViz — AI-powered vibration analysis and condition monitoring software for predictive maintenance. Detects machine faults early, reduces false alarms, and scales across industrial assets without switching hardware
- [Vibration analysis](https://vikinganalytics.se/vibration-analysis): AI-powered vibration analysis for condition monitoring experts and reliability engineers. Analyse vibration data from 50+ sensor brands, detect bearing faults early using the Envelope Peak Score (EPS), and diagnose failure modes in rotating equipment
- [Predictive maintenance](https://vikinganalytics.se/predictive-maintenance): Predictive maintenance insights for maintenance planners and reliability teams. Move from reactive to condition-based maintenance using AI-powered vibration analysis and real-time machine health monitoring
- [Condition monitoring & reliability](https://vikinganalytics.se/condition-monitoring-reliability): Unify condition monitoring data from multiple sensor brands into one platform. Reduce false alarms and alarm fatigue using AI behaviour-based modes instead of fixed thresholds. Prioritise what matters for rotating equipment reliability
- [Technical integrations](https://vikinganalytics.se/technical-integrations): MultiViz integrates with 50+ predictive maintenance and condition monitoring sensors from leading brands including SKF, IFM, Schaeffler, and handheld devices. Connect existing sensors without switching hardware

## Who it's for

- [Manufacturing plants](https://vikinganalytics.se/manufacturing-plants): Condition monitoring and predictive maintenance software for manufacturing plants. Reduce unplanned downtime, cut false alarms, and scale vibration analysis across rotating equipment — without replacing existing sensors
- [Maintenance & service providers](https://vikinganalytics.se/maintenance-service-providers): MultiViz for maintenance and service providers. Deliver condition monitoring as a service using your customers' existing sensors. Scale predictive maintenance across multiple sites from one platform
- [OEMs](https://vikinganalytics.se/oems): White-labelled condition monitoring software for OEMs. Embed AI-powered vibration analysis and predictive maintenance into your own product offering without building the software from scratch
- [Sensor manufacturers](https://vikinganalytics.se/sensor-manufacturers): Make sensors AI-ready without writing software. MultiViz connects to your hardware and adds vibration analysis, condition monitoring, and predictive maintenance capabilities on top of your sensor data

## Industries served

- [Silica and minerals processing](https://www.vikinganalytics.se/case-studies/turning-raw-data-into-results-at-elkem-iceland): Predictive maintenance and vibration analysis for silica and minerals processing operations. Elkem Iceland case study
- [Pulp & paper](https://www.vikinganalytics.se/case-studies/wireless-monitoring-solutions-for-paper-mills): Wireless condition monitoring for paper mills. Vibration analysis across rotating equipment without replacing existing sensors
- [Manufacturing](https://www.vikinganalytics.se/case-studies/predictive-power-at-scale): Predictive maintenance at scale across multiple assets and sites in manufacturing operations
- [Energy](https://www.vikinganalytics.se/case-studies/from-manual-checks-to-24-7-insights): Condition monitoring for energy sector assets. Moving from manual inspection rounds to 24/7 automated vibration monitoring

## Proof & resources

- [Case studies](https://vikinganalytics.se/case-studies): Customer outcomes across pulp & paper, manufacturing, energy, and minerals processing — reduced downtime, fewer false alarms, and early fault detection
- [Elkem Iceland case study](https://www.vikinganalytics.se/case-studies/turning-raw-data-into-results-at-elkem-iceland): Turning raw vibration data into actionable maintenance insights at a silica processing facility
- [Paper mills case study](https://www.vikinganalytics.se/case-studies/wireless-monitoring-solutions-for-paper-mills): Wireless condition monitoring across paper mill rotating equipment using existing sensor infrastructure
- [Predictive maintenance at scale case study](https://www.vikinganalytics.se/case-studies/predictive-power-at-scale): Scaling predictive maintenance across a large manufacturing operation
- [Energy sector case study](https://www.vikinganalytics.se/case-studies/from-manual-checks-to-24-7-insights): From manual inspection rounds to 24/7 automated condition monitoring in the energy sector
- [Publications](https://vikinganalytics.se/publications): White papers, use cases, and technical guides on vibration analysis and condition monitoring
- [Blog](https://vikinganalytics.se/blog): Vibration analysis, predictive maintenance, condition monitoring, and industrial reliability
- [Support & FAQs](https://vikinganalytics.se/support-faqs)
- [Knowledge Base](https://vikinganalytics.se/knowledge-base): MultiViz documentation and how-to guides

## Guides & free resources

- [ROI guide](https://www.vikinganalytics.se/lp-2/roi-guide): Free guide to calculating the return on investment of predictive maintenance and condition monitoring software
- [Vibration severity zones mini-guide](https://www.vikinganalytics.se/lp-2/vibration-severity-zone-miniguide): Free guide to vibration severity zones — how to interpret vibration levels and set monitoring thresholds for rotating equipment condition monitoring

## Company

- [About](https://vikinganalytics.se/about): Mission, team, and company overview. Viking Analytics AB, Gothenburg, Sweden
- [Partners](https://vikinganalytics.se/partners): Service providers, OEMs, and sensor manufacturers in the Viking Analytics partner network
- [News](https://vikinganalytics.se/news): Product releases, partnerships, customer stories, and events
- [Careers](https://vikinganalytics.se/careers)
- [Contact](https://vikinganalytics.se/contact): Get in touch; office in Gothenburg, Sweden

## Sitemaps

- [Sitemap](https://vikinganalytics.se/sitemap.xml)