What Viking Analytics AB does

Viking Analytics AB is a Swedish AI software company founded in 2017 and headquartered in Gothenburg that builds MultiViz, an AI-powered vibration analysis and condition monitoring platform for industrial predictive maintenance. The platform ingests time-series vibration and sensor data from 50+ sensor brands via MQTT or REST APIs and applies self-learning AI to detect 11 distinct signal-based symptoms (e.g., modulation, impacting, envelope harmonics, dominant 1X/2X) and group measurements into behavioral modes, automatically prioritizing which machines require attention to combat alarm fatigue. MultiViz 2.0, launched August 2025, replaced the legacy MultiViz Classic (retired September 1, 2025) and introduced a Symptoms Aggregation Engine, Expert-Controlled Status, and Integrated Sensor-Level Workflows. The company is privately held (Swedish Aktiebolag, reg. no. 556907-1912) and is led by co-founders Rajet Krishnan (CEO), Stefan Lagerkvist (COO), and Arash Toyser (CTO).

The core technology — MultiViz 2.0 — uses a proprietary ModeId algorithm that learns each machine's unique behavioral signature without pre-trained templates, fault libraries, or threshold management, combined with a priority engine that weighs signal changes across sources to score urgency. Viking Analytics monetizes primarily through per-user monthly subscriptions priced in Euros (with annual partner pricing, 98% Availability Level SLA, and service credits), augmented by onboarding and integration professional services, a multi-tier channel/reseller program, and OEM/embedded licensing for sensor manufacturers (e.g., pureSignal). Distribution spans direct enterprise sales, channel partners (Weir, MachineSaver, CTC, VKT, HD, Pour-Tech), OEM/embedded integrations, a self-serve dashboard, and listings on the IBM Ecosystem and RedHat Marketplace. The company targets four buyer segments — asset-owning manufacturers, maintenance & service providers, sensor manufacturers, and OEMs/equipment integrators — with named customers including ABB, Södra, Stora Enso, CMPC, Elkem, Linde, Ternium, WEG, Bharat Forge, Hafslund, Ingredion, NOBIAN, Malarenergi, MPC, Nicolaides, and VKT across more than 20 countries. Viking Analytics raised a Series A of more than €3M in January 2023 from ABB, Finindus, and Industrifonden for global expansion, following a $750K seed round in April 2021; headcount is in the 11-50 range with a remote-friendly organization spanning Europe, North America, and Latin America.

Name

Viking Analytics AB

Legal name

Viking Analytics AB (reg. no. 556907-1912)

Website

https://vikinganalytics.se

Company type

Private

Founded year

2017

Operating status

Operating

Headcount range

11–50 employees

Short description

Viking Analytics AB builds MultiViz 2.0, an AI-powered vibration analysis and condition monitoring platform that helps industrial manufacturers, maintenance service providers, and sensor OEMs detect machine faults early, cut alarm fatigue, and scale predictive maintenance across global operations.

Ownership category

akta.pro rank

Product category

Industrial AI Predictive Maintenance Software

NAICS

Navigational, Measuring, Electromedical, and Control Instruments Manufacturing (3345), Other Measuring and Controlling Device Manufacturing (334519), Instrument Manufacturing for Measuring and Testing Electricity and Electrical Signals (334515)

SIC

Industrial Instruments For Measurement, Display, And Control (3823), Instruments For Meas & Testing Of Electricity & Elec Signals (3825), Services-Computer Integrated Systems Design (7373)

akta.pro primary industry

Predictive Maintenance & Condition Monitoring (IMAIAMAD)

akta.pro secondary industries

Vibration Analysis & Rotating Equipment Reliability (EUAEAKAB), Online Condition Monitoring (Sensors, Edge Devices, IIoT Gateways) (EUAEAKAA), Condition Monitoring & Predictive Maintenance Instrumentation (Vibration/ultrasound, oil analysis sensors, IIoT monitoring) (IMAGAFAG)

Keywords

• Predictive maintenance
• Vibration analysis
• Condition monitoring
• Industrial AI
• Machine health monitoring

Headquarters

HQ city

Gothenburg

HQ country

Sweden

HQ region

Europe

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Marketing or Sales, Infrastructure, Operations

Revenue model

1. MultiViz User License Subscriptions: Recurring subscription revenue from User licenses purchased for the MultiViz Services. User subscription Fees are billed in monthly periods beginning on the subscription start date and each monthly anniversary; the number of User subscriptions cannot be decreased during the relevant subscription term and subscriptions auto-renew for periods equal to the expiring term or one year (whichever is shorter). All payments are in Euros with 30-day payment terms.
2. Onboarding and integration services: Professional services for customer onboarding: data structure review, asset hierarchy extraction, format decoding, integration development, and dashboard walkthrough. Setup typically takes 1–2 weeks. Local/on-premises deployments may take longer.
3. Channel / reseller partner revenue: Indirect revenue through a multi-tier partner program. Partners purchase subscriptions and resell to end customers within defined territories per the General Terms and Conditions (annual subscription, EUR pricing, marketing co-op, indemnification, IP licensing, and SLA provisions including 98% Availability Level).
4. OEM / licensing of AI analytics: OEM/whitelabel revenue from embedding Viking Analytics' behavior-based AI analytics into third-party platforms (e.g., pureSignal combines its wireless sensor technology with Viking Analytics' AI to enable predictive maintenance).

Pricing tiers

Go-to-market motion5 records

Distribution channels5 records

Marketing channels10 records

Core offering

Viking Analytics develops and sells MultiViz 2.0, a sensor-agnostic AI-powered vibration analysis and condition monitoring SaaS platform for industrial predictive maintenance. The platform ingests vibration data from 50+ sensor brands via MQTT or REST APIs, automatically groups measurements into operational modes, classifies 11 distinct signal-based symptoms linked to specific fault types, and uses a self-learning AI to prioritize only the alerts that require attention. It is sold via per-user subscriptions, with additional revenue from OEM/embedded licensing and onboarding professional services.

Product overview

Viking Analytics AB offers a single unified AI platform, MultiViz 2.0, as its core product, with no separately sold add-on modules or sub-brands for customers beyond the platform itself. MultiViz 2.0 is the production, generally-available version that replaced the legacy MultiViz Classic (which was sunset on September 1, 2025, with all user data migrated to MultiViz 2.0). The company also created Daeploy, an open-source companion tool for deploying Python models, but it is positioned as a separate community/developer offering rather than a paid product module. Together, MultiViz 2.0 is the commercial product, MultiViz Classic is the retired predecessor, and Daeploy is the open-source extension of the team's ML engineering work.

Differentiator

Problem solved

Functional benefit

Brands

• MultiViz: AI-powered vibration analysis and condition monitoring platform, including MultiViz 2.0 (current version) and the now-retired MultiViz Classic.
• Daeploy

Products and services

• MultiViz 2.0 Sensor-agnostic, AI-powered vibration analysis and condition monitoring SaaS platform for predictive maintenance. Connects to 50+ vibration sensors and gateways, automatically groups measurements into operational modes, detects 11 types of symptoms, calculates a priority score per source, and surfaces only what needs attention to reduce alarm fatigue (95% fewer false positives). Includes a Customer Overview Page, Deep Analysis View with Vibration Metric, Measurement, and FFT Widgets, and a Highlights panel for Symptoms and Changes.
• Daeploy Open-source tool developed by Viking Analytics for deploying Python machine-learning models. Provided free to the developer community as an extension of the team's ML engineering work and a complement to the MultiViz platform.

Quantifiable outcome

• 95% fewer false alarms
• +3 more outcomes

Named customers35 records

Segments7 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration8 records

AI capability7 records

Feature8 records

Partnerships

Nine partnerships are on record, tiered strategic and major.

• pureSignalstrategicOEM/ Whitelabel/ Licensing Partner · 28 April 2026pureSignal (Swedish technology company) combines its wireless condition monitoring sensor technology with Viking Analytics' behavior-based AI analytics to enable predictive maintenance strategies. pureSignal distributes across eight European countries (Germany, Poland, Czech Republic, Turkey, Lithuania, Norway, Finland, and Sweden) and announced expansion to Iceland (April 2026) with distributor HD Industrial & Technical Services.
• MachineSaverstrategicChannel Partner/ Reseller/ Distributor · 6 January 2026Partnership to unlock scalable AI-driven machine health for the U.S. oil & gas sector. Announced January 6, 2026.
• WeirstrategicChannel Partner/ Reseller/ Distributor · 29 September 2025Weir partners with Viking Analytics to enhance digital offering for mineral processing plants. Announced September 29, 2025.
• CTC (Connection Technology Center)strategicTechnology or Integration · 10 September 2025CTC and Viking Analytics launched an integrated plug-and-play solution for wireless vibration monitoring, combining CTC's wireless sensors with Viking Analytics' MultiViz platform. Announced September 10, 2025.
• Bharat Forge Kilsta ABmajorStrategic or Co-development Partner · 8 July 2024Multi-year AI-driven forging optimization partnership. Earlier collaboration (September 21, 2020) covered a data-driven production quality project in which Viking Analytics developed a simulator of an induction oven at Bharat Forge Kilsta's Karlskoga plant to test whether adding more sensors or changing parameters could improve the data quality used in machine learning. Part of a broader program with RISE, Karlstad University, Alfred Nobel Science Park, Ovako, Volvo, and Business Region Örebro.
• VKTmajorChannel Partner/ Reseller/ Distributor · 14 February 2024Viking Analytics and VKT united for AI-powered predictive maintenance via MultiViz AI. Announced February 14, 2024. VKT later reported identifying a coupling issue within two weeks using a CTC wireless sensor integrated with MultiViz.
• Pour-Tech ABmajorStrategic or Co-development Partner · 3 February 2021Joint AI-operators offering for iron foundries, branded EASYpour, uses data analytics and machine learning algorithms developed by Viking Analytics to automatically adjust the pouring process, improving product quality, enabling faster production, and reducing costs. Contract signed February 3, 2021.
• IBMstrategicTechnology or Integration · 22 October 2020Viking Analytics joined the IBM Accelerator Program Sweden. Plan: integrate MultiViz with RedHat Openshift and IBM public cloud so companies can deploy vibration sensor and other smart-manufacturing applications on-premises or in the cloud; establish a sales partner program to MultiViz through IBM Ecosystem and RedHat marketplace. Announced October 22, 2020.
• iiootemajorStrategic or Co-development Partner · 28 September 2020Partnership started September 2019 to address a need from water/sewage treatment and insurance companies. Joint product uses Viking Analytics' AI-based anomaly detection algorithm within iioote's WebIoT platform to detect early onset of black mold (Stachybotrys chartarum) in buildings via temperature/humidity sensors on LoRaWAN. Announced September 28, 2020.

Scale indicators11 records

Recent moves6 records

Expansion highlights6 records

Broad incumbents

• SKF: SKF, the world's largest bearing manufacturer, has built a condition-monitoring and remote-diagnostic business around its bearings. It overlaps with Viking Analytics at the sensor-to-insight boundary but bundles its analytics with SKF hardware and a much broader industrial service offering.
• Honeywell Forge: Honeywell Forge offers an industrial analytics suite that includes predictive maintenance and asset-monitoring modules, competing with MultiViz for reliability and operations budgets in process industries. Significantly larger incumbent with deep enterprise relationships.
• C3.ai: C3.ai is an enterprise AI platform with a dedicated Predictive Maintenance / Asset Performance application targeting industrial verticals. It competes for the same reliability budgets as Viking Analytics but at much broader enterprise scale and with a more horizontal AI platform offering.
• Brüel & Kjær (HBK): Brüel & Kjær (now Hottinger Brüel & Kjær) is a heritage manufacturer of vibration measurement instruments and condition-monitoring systems. It is both a competitor (condition monitoring software) and an integrated sensor supplier supported by MultiViz's 50+ brand integration, making it a relevant incumbent peer.
• Siemens MindSphere: Siemens MindSphere (now part of Insights Hub) is an industrial IoT platform that includes condition monitoring and predictive-maintenance capabilities. It competes broadly with MultiViz in the same industrial buyer accounts, with deeper Siemens integration across automation hardware and software.
• GE Digital (Predix): GE Digital's APM/Predix offering provides asset performance management and predictive maintenance for industrial operators across power, oil & gas, and manufacturing. A broader incumbent that overlaps with Viking Analytics' industrial AI reliability use cases, often bundled with GE hardware.

Direct peers

• Augury: Augury provides AI-driven vibration and temperature-based machine health monitoring for industrial assets, directly competing with Viking Analytics in AI-powered condition monitoring for rotating equipment. Both target reliability teams at industrial manufacturers with full-stack sensors plus analytics, and both emphasize reduction of false alarms and earlier fault detection.
• Uptake: Uptake builds AI-driven asset performance management and predictive maintenance software for industrial customers, with comparable buyer personas (reliability engineers, maintenance planners) and overlapping use cases around reducing unplanned downtime. Direct alternative to MultiViz at enterprise scale.
• Senseye (Siemens): Senseye (acquired by Siemens) offers AI-based predictive maintenance software that analyzes condition-monitoring data to forecast machine failures, overlapping directly with MultiViz's predictive-maintenance value proposition. Both platforms aim to scale condition monitoring across industrial fleets and reduce unplanned downtime.
• SparkCognition: SparkCognition applies AI to industrial asset reliability, including predictive maintenance and condition monitoring, serving oil & gas, manufacturing, and heavy industry. Comparable to Viking Analytics in its AI-first approach to industrial reliability and its focus on cross-vertical deployment.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat6 records

Key risks7 records

Key highlights7 records

Customer concentration

• LinkedInlinkedin.com/company/viking-analytics-ab
• Xx.com/vikinganalyticx

Compliance2 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles4 records

Funding overview

Funding rounds3 records

Investors4 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Viking Analytics AB