Take action on suspicious transactions in seconds
Smart criminals know how to bypass compliance rules to launder money. As a result, teams often struggle to keep up with alerts and tools, which can make it difficult to have a clear, complete picture of the context around suspicious transactions or clients.
Contact us10X faster investigations
By combining machine learning and graph analytics, we build a comprehensive view of your clients network and connections, giving you the full context surrounding a suspicious client or transaction in seconds. That means you can follow your intuition and dynamically filter data or explore new relationships as well as make compliance decisions with the certainty of understanding the full picture.
Unmask smart money launderers
Whether third party “smurfs,” corporate shells, or fake identities: the tactics used by money laundering networks are hard to detect without the whole picture. That’s why we at Linkurious use graph analytics to uncover complex hidden connections in your data, revealing criminal behaviors that would otherwise go undetected.
Decrease false positives
Up to 95% of alerts are false positives. With Linkurious Enterprise’s case management system, you can identify connections across your existing alerts, review entities that are involved in multiple alerts, better assess risk, and speed up analysis. With machine learning, you can adjust your AML scoring based on the insights of your analysts.
The International Consortium of Investigative Journalists gathered 350+ journalists throughout the world to investigate the Panama Papers. With the help of Linkurious Enterprise, the journalists were able to shed light on corruption, money laundering, tax evasion and drug trafficking stories.
Discover how Ria Money Transfer has strengthened their anti-money laundering investigation capabilities resulting in faster investigations and the ability to better meet regulatory expectations.
Deloitte is partnering with Linkurious to deliver powerful investigative technology to their clients fighting against financial and economic crime.
Learn how Justice for Myanmar followed the money to understand and expose the source of power of the violent and corrupt Myanmar military.
With Linkurious, the journalists were able to collaboratively establish a precise picture of the tens of thousands of businesses and beneficial owners (UBOs) implicated in the leak.
On-premise or in the cloud, real time or batch, scale to billions of nodes and edges - Linkurious Enterprise has you covered.
Leverage existing internal (KYC, transactions, scoring) and external data (PEP, watchlists, company registries), no matter where it’s coming from.
Direct compatibility with Neo4j and Azure Cosmos DB. Use graph analytics and machine learning to fuse multiple data sources into a single unified source of truth.
Leverage pre-built alerts or build your own graph queries and ML models to identify suspicious activities.
Compatible with LDAP/Active Directory, SSO (Azure AD, SAML2). Ability to manage fine grained access rights.
Customize the user interface based on the specifics of your data and use case. Embed new capabilities into existing tools via a REST API.
How to outsmart money laundering networks
Between criminals bypassing traditional AML controls and increased compliance pressure, AML efforts can feel like an uphill battle. Learn how you can shift the paradigm for more efficient AML.
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