List of Linkurious Customers
Since 2010, our global team of researchers has been studying Linkurious customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Linkurious for Network Data Intelligence from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Linkurious for Network Data Intelligence include: Zurich Insurance Company, a Switzerland based Insurance organisation with 60000 employees and revenues of $69.96 billion, Volvo Car, a Sweden based Automotive organisation with 43600 employees and revenues of $41.55 billion, BforBank, a France based Banking and Financial Services organisation with 150 employees and revenues of $20.0 million and many others.
Contact us if you need a completed and verified list of companies using Linkurious, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Linkurious customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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BforBank | Banking and Financial Services | 150 | $20M | France | Linkurious | Linkurious | Network Data Intelligence | 2017 | n/a |
In 2017, BforBank implemented Linkurious Enterprise as a Network Data Intelligence solution for its risk and compliance function. The deployment targeted detection and investigation workflows designed to dismantle check-fraud rings and improve fraud triage across France.
The implementation used Linkurious Enterprise’s graph visualization and investigative workflow capabilities layered on a Neo4j graph backend, enabling rapid visual exploration of connections across previously siloed data. Configuration focused on link analysis, pattern detection, and interactive query-driven investigations to surface suspicious clusters and transaction chains.
Operational responsibility rested with BforBank’s risk and compliance team, with the solution applied to fraud investigation and case management activities tied to check fraud in France. Integrations consolidated transactional records, identity attributes, and case artifacts into the Neo4j graph to support cross-source entity resolution and exploratory analytics.
Governance and rollout emphasized investigator-facing workflows and graph-driven playbooks, with access controls and investigation procedures adapted to visual analytics. The deployment reduced investigation duration by up to 10x and enabled the bank to stop approximately 20% more fraud attempts, outcomes reported by BforBank using Linkurious.
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Volvo Car | Automotive | 43600 | $41.5B | Sweden | Linkurious | Linkurious | Network Data Intelligence | 2022 | n/a |
In 2022, Volvo Car deployed Linkurious Enterprise and Ogma to build an internal graph platform for engineering and enterprise architecture. The deployment leverages Linkurious Enterprise within the Network Data Intelligence category to provide interactive graph exploration and visualization capabilities for teams based in Sweden and working globally.
The implementation paired Linkurious Enterprise graph indexing, query and analytics capabilities with Ogma visualization to enable dependency mapping, investigative workflows and collaborative exploration. Functionally the platform supports rapid proof of concept work, interactive dashboards and ad hoc graph queries used by engineering and enterprise architecture practitioners.
Operational ownership sits with an Insight Lab that runs POCs and flash graph projects to accelerate adoption, with multiple daily users exercising the platform to surface cross-team dependencies. The Insight Lab driven rollout emphasizes short iterative projects to operationalize graph-powered insights, and the program reports faster graph-powered insights and improved cross-team dependency management as primary outcomes.
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Zurich Insurance Company | Insurance | 60000 | $70.0B | Switzerland | Linkurious | Linkurious | Network Data Intelligence | 2021 | n/a |
In 2021, Zurich Insurance Company implemented Linkurious Enterprise, deploying Linkurious as a Network Data Intelligence capability to support its Special Investigation Unit in Switzerland for insurance claims fraud triage and investigation. The deployment was focused on accelerating claims decision speed within Zurich Insurance Company, with Linkurious Enterprise serving as the investigative front end for graph-based analysis and triage workflows.
The implementation configured Linkurious Enterprise to provide interactive graph visualization, pattern detection and investigative query capabilities, coupled with case triage dashboards and investigator-focused workflows. Standard Network Data Intelligence functionality such as entity relationship mapping, interactive exploration and scripted query templates were used to support fast hypothesis testing and evidence linking during investigations.
Operationally the deployment aggregated data from multiple sources into a unified investigative graph used by the Special Investigation Unit, enabling cross-record link analysis across claims-relevant datasets. The rollout covered claims investigation processes within Switzerland and was positioned to centralize investigative analytics for fraud triage and follow-up inquiry by unit investigators.
Governance and process changes aligned investigative workstreams to graph-enabled triage, shifting decision points to visual analysis and structured investigative steps. The Linkurious deployment cut case triage time by an average of 30 percent, enabling faster outcomes and contributing to improved customer experience in the claims process in Switzerland.
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Buyer Intent: Companies Evaluating Linkurious
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