Paris – April 20, 2015 – Linkurious announces the launch of Linkurious Enterprise, the first data visualization platform for graph data. Linkurious Enterprise provides the ability to search, explore, and visualize the connections in graph data in a secure way.

“Linkurious helps organizations use their data to uncover relationships among people, places, things, and entities. It provides new capabilities to extract information from large and complex datasets” said Sébastien Heymann, CEO of Linkurious.

Visualizing data as a network of nodes and relationships is called graph visualization. Until recently, it was an area of interest reserved to data scientists and intelligence agencies. However, as more and more organizations work with big data, they struggle to extract concrete insights from large and complex datasets. What is the impact of a server failure in a large IT network? Are seemingly normal bank customers indirectly connected to known criminals? Who is the most influential person in my organization? Graph visualization can help IT engineers, fraud analysts or decisions-makers find the answers to these questions by exploring the connections in their data. However, to date, graph visualization was reserved to organizations capable of building their own solutions or using complex tools designed for scientists.

Today, Linkurious Enterprise makes graph visualization accessible to all organizations through an easy-to-use interface. Compatible with Neo4j, the leading graph database, Linkurious Enterprise is an on-premise platform that allows users to interact with their data to investigate patterns, discover hidden insights and reveal opportunities through visual querying. Organizations can quickly unlock the value of their graph data with a platform that includes security and collaboration features. Linkurious Enterprise is used for example in fraud detection, network management or medical research.

Linkurious is already helping early customers like Ebay, Cisco, or the French Ministry of Finances to extract insights from their graph data. Recently the International Consortium for Investigative Journalism (ICIJ) used Linkurious Enterprise for the Swiss Leaks, a worldwide data-investigation of a giant tax evasion scheme allegedly operated with the knowledge of of the British multinational bank HSBC via its Swiss subsidiary.

News highlights

The features available in the Linkurious Enterprise platform include:
    • Graph search and visualization: Type any text and find the nodes or edges it matches. The result is displayed as a graph. The users can explore and expand it interactively to identify patterns, paths, and insights hidden in their data.
    • Security: Organizations can secure the access to sensible data through the administration dashboard. Administrators manage authenticated users (compatible with LDAP systems), user groups, and data access rules. They can set read/write permissions based on categories of nodes and relationships, and assign these rules to user groups as needed.
    • Collaboration: Working as a team on graph data has never been easier. Any visualization created via Linkurious Enterprise can be saved. It may be shared in a click with colleagues, or exported to multiple file formats for Excel, Gephi and image editors, or integrated in web pages via an interactive widget.
    • Compatible with Neo4j graph databases: Linkurious Enterprise connects seamlessly to Neo4j, the fastest growing graph database. It is now easy to explore graph data using your web browser.
    • Other features: Graph data editor, advanced analytics, customization, audit log, etc.
About the Swiss Leaks: The International Consortium of Investigative Journalists (ICIJ) obtained 60.000 files detailing bank account information of more than 100,000 clients at HSBC in Switzerland, which held 180.6 billion euros in 2006/2007. In a global investigation called Swiss Leaks, over 160 journalists in France, USA, Switzerland, and around 50 other countries worked with tools like Linkurious Enterprise to analyze the data and track the names of alleged tax fraudsters.

Supporting quotes

Sébastien Heymann, CEO of Linkurious: “As a co-founder of Gephi, the leading open-source graph visualization software used by data scientists around the world, I have witnessed the rising interest in graph data. Technologies such as the Neo4j graph database now make it possible for any organization to store and analyze entities and their connections at large scales. With traditional databases, organizations can rely on software editors like Tableau to analyze their data. However, to date, there was no simple and enterprise-ready solution for graph data. With Linkurious Enterprise, graph analysis has never been as accessible. We provide a unique time-to-value to organizations looking to extract insights from big data.”

Mar Cabra, Data Journalism Manager at the International Consortium of Investigative Journalists: “Linkurious Enterprise allowed our remote team of dozens of reporters to easily sift through complex financial data to uncover persons of interest and potential stories — all in a visual and very intuitive way.”

About Linkurious

Linkurious is a French graph visualization startup. For fraud detection, medical research, or network management, companies need to understand the connections within their data. With Linkurious, it is now possible to search, to explore, and to visualize graphs easily. Our technology helps some of the most innovative organizations understand the connections in their data and unlock the value of graphs.

Media contact

Jean Villedieu, Co-Founder @ Linkurious