Linkurious named Category Leader in Chartis AML Transaction Monitoring 2026 report

Linkurious, a Nuix company, has been recognized as a Category Leader in the Chartis Research's AML Transaction Monitoring Solutions, 2026: Quadrant Update.

This marks a significant milestone for Linkurious, which has advanced from its previous Best of Breed recognition in previous years to Category Leader in 2026, placing it alongside some of the most established technology providers in the AML transaction monitoring market.

The recognition highlights the continued evolution of Linkurious's graph intelligence capabilities and the growing role of connected data in detecting and investigating complex financial crime.

Chartis Research evaluates AML technology providers based on their completeness of offering and market potential, providing financial institutions with an independent assessment of the vendor landscape.

Linkurious's progression to Category Leader reflects its continued investment in graph intelligence and its ability to address increasingly complex AML requirements.

“Linkurious was named a Category Leader in Chartis Research’s AML Transaction Monitoring Solutions: Quadrant Update, 2026, due in part to its data integration and risk typology identification capabilities. The company's progression reflects continued improvements in its solution's performance, speed and scalability, as well as its graph-based capabilities, which are becoming increasingly important in AML technology,” said Sean O'Malley, Research Director for Financial Crime and Control at Chartis Research.

“The ongoing shift in AML transaction monitoring from data-focused to intelligence-focused employs user-friendly graph intelligence that helps to connect data and aid analysts and investigators. By providing a more comprehensive view, additional context and new risk-based signals, investigators can make decisions on their investigations with increased confidence.”

Money laundering rarely involves a single suspicious transaction. Sophisticated schemes can span multiple accounts, individuals, companies, and jurisdictions, with illicit activity concealed within networks of seemingly legitimate transactions.

Traditional transaction monitoring systems can flag predefined anomalies, but identifying the relationships and patterns behind complex criminal activity often requires additional contextual analysis. This leaves AML teams dealing with high volumes of alerts, fragmented information, and time-consuming investigations.  

Graph intelligence helps address these challenges by bringing relationships to the forefront of detection and investigation.

With Linkurious, financial institutions can:

• Uncover hidden connections: identify direct and indirect relationships between customers, accounts, transactions, and other entities that may indicate suspicious activity.

• Detect complex risk patterns: leverage graph analytics to identify potentially suspicious networks and money laundering typologies that individual transaction analysis may miss.

• Investigate alerts faster: visually explore connected data, understand the broader context, and quickly follow investigative leads.

• Improve investigative efficiency: help analysts prioritize relevant risks, reduce unnecessary investigative effort, and support more informed decisions.

• Work with existing technology: integrate graph intelligence with transaction monitoring systems, graph databases, and other data sources.

These capabilities are already delivering measurable benefits for financial institutions. At Ria Money Transfer, for example, Linkurious has helped reduce the time required for complex investigations by 80%, enabling compliance teams to investigate suspicious activity more efficiently.

The integration of Linkurious's graph visualization and analytics capabilities into Nuix's unstructured data intelligence platform creates new opportunities for financial institutions to detect and investigate complex financial crime. 

Financial institutions rely heavily on structured data, such as transactions, accounts, and customer records, to identify suspicious activity. Yet valuable intelligence also lies in unstructured data, including emails, documents, communications, and other files. This information can reveal important details about the individuals, organizations, and activities involved in financial crime schemes, but is often difficult to access and connect with existing AML data. 

Nuix Neo helps unlock the value of this information by processing and analyzing large volumes of unstructured data and extracting relevant entities, relationships, and other intelligence. Combined with Linkurious's graph visualization and analytics capabilities, this enriched information can be connected with transactional and customer data to reveal hidden relationships, expose suspicious networks, and provide investigators with a more complete picture of potential financial crime. 

For AML teams, this means greater visibility into complex money laundering schemes, richer investigative context, and the ability to make more informed, defensible decisions. 

Chartis's recognition as a Category Leader marks an important milestone for Linkurious. It also reinforces our ambition within Nuix: to help financial institutions make better use of their data, understand complex networks, and uncover financial crime that might otherwise remain hidden.

Ultimately, we believe technology can be a force for good, empowering those fighting financial crime to protect institutions, communities, and society at large. 

To learn more about Nuix and Nuix Neo platform, contact us or visit Nuix website.