MultiViz
MultiViz is an AI-powered vibration analysis and condition monitoring platform from Swedish vendor Viking Analytics. It learns each sensor's normal behaviour, ranks the machines that need attention, and works with more than fifty existing sensor brands.
What is MultiViz?
MultiViz is an AI-powered vibration analysis and condition monitoring platform built by Viking Analytics AB, a Swedish company based in Gothenburg. It is aimed at industrial reliability teams that already have vibration sensors in place and want the resulting signal turned into a short, ranked list of machines that genuinely need attention. The current release is MultiViz 2.0; the earlier generation, MultiViz Classic, is now positioned as legacy.
The platform is reached through a browser at dashboard.multiviz.com, and the licence terms also refer to offline components including on-premise software. Rather than asking engineers to configure alarm thresholds or supply a fault library, MultiViz applies unsupervised machine learning to build an explainable model for each individual sensor point, then runs a series of detectors on top of that model to name the symptoms it finds. Viking Analytics calls these learned behavioural fingerprints modes and contrasts them with static triggers: a mode captures how a machine normally behaves, so a subtle shift registers before any threshold is crossed. Symptoms the vendor cites include unusual modulation, rising kurtosis and subtle harmonic shifts, and conventional vibration metrics — RMS, Crest Factor, Envelope, Kurtosis — sit alongside them.
Priority is calculated per sensor and per direction, the sensor taking the highest priority across its directions; an analyst resets it through a clearing action once the readings have been reviewed. The analysis workspace documented in the knowledge base includes an FFT widget, envelope analysis, trend plots, overlay and waterfall comparisons and a shared bearing database. Findings can be tagged, annotated and turned into white-label PDF reports pushed to a CMMS, e-mail or a shared portal.
MultiViz is deliberately hardware-agnostic: it connects to more than fifty sensor brands over MQTT, cloud-to-cloud links, edge gateways, route-based handheld uploads, CSV/JSON batch imports and secure API connections. Viking Analytics reports customers in more than twenty countries and a partner network across fifteen or more, and publishes monthly release notes. Its headline claims are 95% fewer false alarms, two to three hours saved per analyst per day, and one to two months of early warning.
What it does
- Rank which machines and sensors need attention first, per axis and per machine
- Detect anomalies without configured thresholds, fault libraries or failure history
- Explain every alert with spectrum shifts, pattern deviations and confidence levels
- Analyse full-spectrum FFT, waveform, envelope and trend data side by side for root cause
- Generate white-label PDF reports and push them to a CMMS, e-mail or shared portal
- Ingest data from 50+ sensor brands over MQTT, gateways, handheld routes and batch files
- Capture analyst feedback on alerts and keep it for reference and model tuning
When to use MultiViz / When not to
A quick filter to help you decide if MultiViz is the right fit.
When to use MultiViz
- Reliability teams that already own vibration sensors and want better analytics without replacing hardware or changing workflows
- Maintenance and service providers industrialising a monitoring service under their own brand, using white-label reporting
- Manufacturing plants trying to cut unplanned downtime and improve OEE across a large asset base
- Sensor manufacturers and OEMs looking to embed condition monitoring analytics in their own offer
- Operators of mixed, multi-vendor sensor estates who need one interface across more than fifty brands
When not to use MultiViz
- Teams expecting the AI to replace a vibration analyst: the vendor states you still validate findings on site with a handheld analyser
- Buyers who need a published price, a self-service sign-up or a free trial before talking to a salesperson
- Organisations that require a mobile app: no iOS or Android application is offered
- Anyone looking for a general-purpose data analytics tool rather than rotating-machine condition monitoring
- Individual users and anyone under 16: the service is aimed at businesses and industrial users
How to use MultiViz
A typical end-to-end flow, from setup to results.
- Book a demo through the site's scheduling link or send the contact form: there is no self-service sign-up
- Agree commercial terms with the vendor or one of its partners, since no pricing is published
- Connect the vibration sensors you already own — wired, wireless, gateway-attached or handheld
- Choose an ingestion route: MQTT, cloud-to-cloud, edge gateway, route-based handheld upload, CSV/JSON batch import or API connection
- Discuss integration with your SCADA, CMMS or data historian during onboarding, with vendor assistance
- Let the platform learn each sensor point's normal behaviour: no thresholds and no fault library to enter
- Add users, assign roles from Viewer to Tenant Admin and send activation links
- Work the prioritised list each day, opening the spectrum, waveform and trend views for anything flagged
- Confirm or dismiss findings, mark an alert as normal with a comment, tag a colleague and update machine status
- Generate a summary or detailed white-label report and push it to your CMMS, e-mail or a shared portal
Pros & Cons
Pros
- No hardware replacement required: the platform works with more than fifty sensor brands, wired, wireless, gateway or handheld
- Nothing to tune before starting — no thresholds, no fault library and no failure history needed
- Explainability is a stated design goal: every alert carries its spectrum shift, pattern deviation and confidence level
- White-label reporting makes the tool directly resellable by maintenance and service providers
- Actively developed, with monthly release notes and a detailed public knowledge base covering the analysis tools
- GDPR documentation is precise: legal bases per purpose, retention per category, six named subprocessors with their countries, and a DPA in the partner terms
- The analyst stays in charge: an alert can be marked normal with a comment, and the note is kept for reference and model tuning
Cons
- No pricing is published at all — no pricing page, no amount, no tier — so any budgeting requires a sales conversation
- The site contradicts itself on model training: the homepage promises data is never used to train systems outside your organisation, while the licence terms reserve for the vendor the models trained on customer data
- No documented way for a customer to exclude its data from model training; the only published opt-out covers session recording, through browser settings
- No independent security certification is claimed anywhere on the site — no SOC 2, no ISO 27001
- No hosting country is stated for the sensor data itself; the only European Union commitment covers session recording on the vendor's own infrastructure
- An API is sold as an integration route but no public API documentation exists, so feasibility has to be checked before purchase
- No mobile application, no free plan, no advertised free trial, and no company social presence linked from the site
Pricing & Plans
Viking Analytics publishes no pricing for MultiViz. The site carries no pricing page and no amount appears anywhere on it, so no lowest price point can be stated. Neither a permanent free plan nor a free trial is advertised. Access is arranged commercially, through a booked demo or the contact form. The only published financial framework is the partner general terms, which bill user licences over monthly periods, payable in euros within thirty days of invoice, with subscription commitments described as non-cancellable and non-refundable and a price list the vendor may change at its discretion.
Data, GDPR & hosting
A consolidated view of how MultiViz handles your data.
GDPR overview
Viking Analytics AB acts as data controller and its privacy policy, last updated 13 August 2026, is unusually concrete. Legal bases are stated purpose by purpose under Article 6: consent for marketing and analytics, contract for delivering the app, legitimate interest for diagnostics and security, legal obligation for accounting. Data subject rights are enumerated — access, rectification, erasure, restriction, portability, objection, withdrawal of consent — with a 30-day response commitment by e-mail, and the Swedish supervisory authority IMY is named with its phone number. Six subprocessors are published with their countries: HubSpot, Google, Calendly, Cloudflare, Webflow and Auth0. Transfers outside the EEA rely on Standard Contractual Clauses and, where applicable, the EU-US Data Privacy Framework. Security measures, 72-hour breach notification and a Data Processing Agreement in Appendix 1 of the partner terms complete the picture. No Article 27 representative applies, the publisher being established in Sweden.
Who owns the data?
The end-user licence terms are explicit that the customer keeps its own data: Viking Analytics and any reselling supplier acquire no right, title or interest in Customer Data, and the customer remains responsible for its accuracy, quality and legality. The same clause, however, reserves for Viking the right to use and exploit any and all models trained on that data, including incorporating those models into its own software products, with no obligation to the customer. Access to the raw data is limited to what delivering the service requires, or what the law demands. On the partner side, the general terms go further, allowing Viking to use customer and partner data to improve existing products and develop new ones.
Reuse rights
Nothing in the published terms restricts what a customer does with its own sensor data; ownership stays with the customer. Getting data out is part of the product: white-label PDF reports can be pushed to a CMMS, e-mail or shared portals, and data moves in and out over secure API connections, MQTT, cloud-to-cloud links and CSV/JSON batch files. In the other direction, Viking Analytics uses the data to run the service and keep it secure and stable, and — under the partner general terms — to improve its products and develop new ones, a right the partner must obtain from its own customers. Session recording inside the app is pseudonymised, honours the browser Do Not Track signal, masks passwords, financial details and authentication tokens, and can be disabled through browser settings. No published mechanism lets a customer exclude its data from model training.
Data retention & training
Hosting summary
Viking Analytics names only one hosting location, and it is narrow: under clause 6 of the licence terms, session recording data is stored on the vendor's own infrastructure within the European Union and shared with no third party. No page states where the sensor data processed inside MultiViz is hosted, and no hosting provider is named for it. The application is reached at dashboard.multiviz.com with authentication delegated to Auth0 in the United States. The marketing site runs on Webflow in the United States behind Cloudflare, whose anycast network makes the domain's public IP geolocation meaningless as a hosting signal. The remaining named subprocessors sit in the United States and Ireland: HubSpot with an EU data centre, Google Analytics, Ads and Tag Manager, and Calendly. Transfers outside the European Economic Area are covered by the European Commission's Standard Contractual Clauses and, where the provider is certified, the EU-US Data Privacy Framework. Buyers with a data residency requirement should have the hosting region for sensor data confirmed in writing.
Things to keep in mind
Risks and trade-offs to weigh before adopting MultiViz.
- The homepage and the licence terms disagree on whether customer data feeds model training; get the vendor's position in writing before signing anything
- No mechanism is documented for excluding your data from model training, and the only published opt-out covers session recording through browser settings
- Partner general terms require the partner to obtain, from its own customers, the right for the vendor to exploit their data for product improvement and development
- A two-year minimum retention of customer data and labels is imposed contractually, which may conflict with an internal deletion policy
- Subscription commitments are described as non-cancellable and non-refundable, and the vendor may change its price list at its discretion
- Trusting a ranked list can quietly erode an analyst's own diagnostic habits: the vendor itself insists the tool assists judgement rather than replacing it, and that on-site validation remains necessary
- No hosting location is stated for sensor data and no security certification is claimed, so data residency and assurance requirements need to be raised explicitly during procurement
Setup & Integrations
Technical difficulty
Moderate, and lighter than most predictive maintenance rollouts because no hardware changes hands. Existing sensors stay in place and feed MultiViz over MQTT, cloud-to-cloud links, edge gateways, handheld route uploads, CSV/JSON imports or API connections, and the vendor advertises setup in a few hours with instant dataflow. Nothing needs tuning: no thresholds, no fault library, no failure history. The real dependencies are the quality of the asset hierarchy, inherited from the customer and not yet editable, and access to a vibration analyst. Integration with SCADA, CMMS or a historian is handled during onboarding.
Deployment
Integrations
Supported languages
Behind MultiViz
Fundraising
Resources
All the official URLs gathered for verification and reference.
Frequently asked questions
What kind of algorithm does MultiViz use?
Do I still need a handheld vibration analyser?
How is a sensor's priority calculated, and how do I reset it?
Which sensors and machines does MultiViz support?
What happens if the AI flags something I disagree with?
How much does MultiViz cost?
Is my data used to train Viking Analytics' models?
Is a Data Processing Agreement available?
Can several plants share one dashboard?
Is there a mobile app?
Should you pick MultiViz?
MultiViz is a focused, credible tool for a specific job: making an existing vibration sensor estate produce a short list of machines worth looking at, instead of a wall of alarms. Its strongest arguments are consistent — hardware agnosticism across more than fifty brands, no thresholds or fault libraries to maintain, and an explicit commitment to explainability, with every alert carrying the spectrum shift and confidence level behind it. The white-label reporting and the partner programme show the vendor has thought about service providers as much as about plant owners, and the monthly release notes and detailed knowledge base indicate a product under active development rather than a demo.
The reservations are mostly about what is not published. There is no price anywhere, no free tier and no self-service entry, so evaluation starts with a sales conversation. No independent security certification is claimed. An API is sold as an integration route but has no public documentation. And there is a genuine contradiction to resolve: the homepage promises that customer data is never used to train systems outside your organisation, while clause 3.3 of the licence terms reserves for the vendor the right to incorporate models trained on that data into its own products — with no documented way to opt out. The partner terms also impose a two-year minimum retention of customer data and labels.
None of that disqualifies the tool, but it does shape how to buy it. For a reliability team or a maintenance provider with sensors already in the ground, MultiViz deserves a demo. Go into it with three written questions ready: what the training clause actually means for your data, where sensor data is hosted, and what the API can really do.
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