Wikipedia

Linkurious

Linkurious is a software company specialized in graph-based technology for various use cases such as financial crime, intelligence, cybersecurity, supply chain management or data governance.

Linkurious
Company typeGraph data visualization and analytics
Industrysoftware
Founded1 January 2013; 11 years ago (2013-01-01) in Paris, France
FounderSébastien Heymann, David Rapin, Jean Villedieu
Headquarters
Paris
,
France
Websitelinkurious.com

Since 2024, Linkurious offers an integrated contextual decision intelligence platform[1] powered by native graph technology and entity resolution AI.

Linkurious works with a variety of world-class technology and consulting partners including Microsoft, Amazon[2], Neo4j[3], Nuix[4], Capgemini, PwC or Deloitte[5].

The company has offices in Montreuil, France and Bethesda, MD, USA[6].

History

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Linkurious was founded in 2013 by Sébastien Heymann, David Rapin and Jean Villedieu following the development of Gephi, which was inspired by the prototype for Stanford's Center for Spatial and Textual Analysis project Mapping the Republic of Letters and looked at connections across thousands of communities in Europe and North America during The Enlightenment.[7]

In 2023, Linkurious is listed in the TOP 250 french software companies and receives the "International" award of the Year granted by Ernst & Young and Numeum[8].

Products

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Linkurious technology provides case management capabilities[9] as well as detection,[10] data search, visualization and exploration[11] capabilities for various graph databases such as Neo4j, Azure Cosmos DB, Memgraph, TitanDB, DataStax, AllegroGraph and RedisGraph.[12][13][14][15]

Linkurious has developed a Javascript graph visualization library named Ogma. It provides a graphics engine based on WebGL and supports older machines with HTML5 Canvas.[16]

Linkurious' graph visualization tool is used for NASA's Lessons Learned database, identifying connections between seemingly unlikely subjects, such as a correlation between contaminated fluid and battery fire risk.[17][18]

Applications

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Panama Papers

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The ICIJ used a commercial version of Linkurious and Neo4j in the investigation of the Panama papers, uncovering 4.8 million leaked files consisting of emails, 3 million database entries, 2.2 million PDFs, 1.2 million images, 320,000 text files, and 2242 files, evidence of money laundering, tax evasion or political corruption.[19][20]

Swiss Leaks

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The ICIJ also utilized the software during the Swiss Leaks investigation that revealed a massive tax evasion scheme in which 180.6 billion euros passed through HSBC accounts.[21][22]

FinCEN files

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In 2020, the ICIJ used the software and Neo4j to visualize and explore  the FinCEN Files’ 400 spreadsheets containing data on 100,000 transactions.[23]

Pandora Papers

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In 2021, the ICIJ leveraged the capabilities of Linkurious and Neo4j once more to analyse the data from the Pandora Papers.[24] The leak involved 14 different offshore services firms and 11.9 million records, amounting to 2.94 terabytes. The network visualisations[25] were able to help organise and explain the data.

Justice for Myanmar

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The campaign group Justice for Myanmar used the software to map the financial connections of the Myanmar military and publish the "Cartel Finance Map".[26]

Obsalytics

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The non-profit organization Obsalytics combined Linkurious and open data to understand the main power structures and financial flows in Syria.[27]

The Sentry

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The Sentry, a US-based investigative and policy organization that seeks to disable multinational predatory networks that benefit from violent conflict, repression, and kleptocracy,[28] uses Linkurious combined with Neo4j graph database to leverage over 150 million pieces of data for their investigations.[29]

Media4change

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The "Karštos pėdos" tool developed by the international movement Media4change provides transparency around the connections between politicians and public figures and public-sector funding to journalists and to the general public. The organization used Linkurious technology to demonstrate how national and EU funds are used in Lithuania.[30][31]

References

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  1. ^ "Decision Intelligence Platform Overview". linkurious.com. Retrieved 22 August 2024.
  2. ^ "Linkurious - Amazon Neptune". docs.aws.amazon.com. Retrieved 22 August 2024.
  3. ^ "Linkurious democratizes graph visualization with new product". Graph Database & Analytics. Retrieved 22 August 2024.
  4. ^ "Tackling the chaos of unstructured data using integrated link analysis". Nuix.
  5. ^ "Deloitte: delivering disruptive technology to more efficiently combat financial crime". linkurious.com. Retrieved 22 August 2024.
  6. ^ "Connect with us". linkurious.com. Retrieved 22 August 2024.
  7. ^ Trei, Lisa (3 June 2016). "Visualization tool prototyped by Stanford humanities scholars aids the investigation of 'Panama Papers' | The Dish". news.stanford.edu. Archived from the original on 4 June 2016. Retrieved 19 April 2017.
  8. ^ "Top 250 des éditeurs de logiciels 2024". www.ey.com (in French). Retrieved 22 August 2024.
  9. ^ "Manage Cases From End-To-End | Collaborate Seamlessly | Linkurious". linkurious.com. Retrieved 3 March 2022.
  10. ^ "Detect Complex Networks | Uncover Hidden Threats | Linkurious". linkurious.com. Retrieved 3 March 2022.
  11. ^ "Investigate Financial Crime 10x Faster | Explore Connections | Linkurious". linkurious.com. Retrieved 3 March 2022.
  12. ^ "Startup Delivers Visual Search Tool for Neo4j Graphs". Datanami. 20 April 2015. Retrieved 19 April 2017.
  13. ^ "Visualize your Cosmos DB Gremlin API graph data with Linkurious enterprise | Blog Azure et mises à jour | Microsoft Azure". azure.microsoft.com (in French). Retrieved 3 March 2022.
  14. ^ Miller, Ron. "DataStax adds graph databases to enterprise Cassandra product set". TechCrunch. Retrieved 19 April 2017.
  15. ^ Villedieu, Jean. "Visualize your RedisGraph data with OGMA". Linkurious' Blog. Retrieved 1 April 2020.
  16. ^ "Ogma quick start". doc.linkurious.com. Retrieved 23 March 2023.
  17. ^ Melendez, Steven. "NASA Is Harnessing Graph Databases To Organize Lessons Learned From Past Projects". FastCompany. Retrieved 19 April 2017.
  18. ^ "Llis". llis.nasa.gov. Retrieved 19 April 2017.
  19. ^ "How France's Linkurious helped reporters use data visualization to make sense of the Panama Papers". 7 April 2016.
  20. ^ "Wrangling 2.6TB of data: The people and the technology behind the Panama Papers". Retrieved 19 April 2017.
  21. ^ "Linkurious, la pépite révélée grâce aux " Panama Papers "". 5 April 2016.
  22. ^ "SwissLeaks : on n'a soulevé qu'un coin du tapis". 10 February 2015.
  23. ^ "From a jumble of secret reports, damning data on big banks and dirty money - ICIJ". 20 September 2020. Retrieved 3 March 2022.
  24. ^ Peake, Kathryn. "A "Tsunami of Data": the Investigative Technology Behind the Pandora Papers". Linkurio.us. Retrieved 3 November 2021.
  25. ^ "The Power Players". The International Consortium of Investigative Journalists. Retrieved 3 November 2021.
  26. ^ "Cartel Finance Map • Justice For Myanmar". data.justiceformyanmar.org. Retrieved 3 March 2022.
  27. ^ "Obsalytics: mapping the Syrian regime's connections and financial flows". linkurious.com. Retrieved 3 March 2022.
  28. ^ "About The Sentry". The Sentry. Retrieved 22 August 2024.
  29. ^ The Sentry (19 January 2024). "A brief history of our data visualization: From word documents to interactive graph databases". Medium.
  30. ^ "Media4Change: Fostering public sector transparency and press freedom with graph visualization". linkurious.com. Retrieved 23 August 2024.
  31. ^ "Future Story Lab". Media4Change. Retrieved 23 August 2024.

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