Criminals are not thinking in silos. Neither should you.
Fraudsters or money launderers exploit the gaps across departments, stages of the customer journey or products to avoid detection. For financial institutions or tax agencies, it leads to duplicate work and inefficient detection of risks.Contact us
Get to the bottom of your investigations 10X faster
We use machine learning and graph analytics to build a comprehensive network of your clients and what they are connected to. Analysts can view the full context surrounding a suspicious client or transaction in seconds. Follow your intuition and dynamically filter data or explore new relationships. Make faster decisions with the certainty of understanding the full picture.
Go beyond traditional rules to unmask smart criminals
Third party “smurfs,” corporate shells, fake identities: the tactics used by fraud and money laundering networks are hard to detect without a holistic view of the networks around clients and transactions. Linkurious Enterprise uses graph analytics to uncover complex hidden connections in your data and reveal criminal behaviors that would go undetected with traditional rule systems.
Focus on the 5% of alerts that matter
Up to 95% of alerts are false positives. Linkurious Enterprise’s case management system identifies connections across your existing alerts. Review entities that are involved in multiple alerts within a single case to better assess risk and to speed up analysis. Use machine learning to adjust your AML scoring based on the insights of your analysts.
On-premise or in the cloud, real time or batch, scale to billions of nodes and edges - Linkurious Enterprise has you covered.Discover Linkurious Enterprise
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.
We're making a difference
Deloitte is partnering with Linkurious to deliver powerful investigative technology to their clients fighting against financial and economic crime.
Fighting financial crime with graph analytics
Organizations are dedicating more resources to fighting financial crime, but the bottom line is that existing tools aren't working well enough. Learn how graph analytics can help.Download Whitepaper