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Linkurious Earns Category Leader Rank in AML Monitoring Report

Summarized from All Financial Services & Investing

Chartis Research names Linkurious, a Nuix company, a Category Leader in its 2026 AML Transaction Monitoring RiskTech Quadrant.

Linkurious Earns Category Leader Rank in AML Monitoring Report

Linkurious, a graph-based decision intelligence firm operating under the Nuix umbrella, has been designated a Category Leader in the Chartis Research RiskTech Quadrant® for AML Transaction Monitoring Solutions 2026, the Paris-headquartered company announced October 26.

The Chartis RiskTech Quadrant is an independently produced evaluation that ranks financial technology vendors on completeness of offering and market potential, making a Category Leader designation one of the more closely watched signals in compliance and risk technology procurement circles.

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Linkurious has built its market position around graph-based analytics, a technology approach that maps complex webs of transactions and relationships to surface money-laundering patterns that conventional rule-based systems frequently miss. The recognition from Chartis signals growing institutional confidence in graph intelligence as a core component of anti-financial crime infrastructure.

The anti-money laundering technology sector has seen intensifying regulatory pressure globally, pushing financial institutions to upgrade legacy monitoring platforms. Vendors that combine visualization, network analysis, and machine-learning capabilities — as Linkurious does — are increasingly positioned as alternatives to siloed, threshold-based detection tools.

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Frequently Asked Questions

Q.What is the Chartis RiskTech Quadrant for AML Transaction Monitoring?

The Chartis RiskTech Quadrant is an independent research evaluation that ranks financial technology vendors on their completeness of offering and market potential within the AML transaction monitoring space.

Q.What company owns Linkurious?

Linkurious is a company owned by Nuix, and it specializes in graph-based decision intelligence solutions.

Q.Why is graph-based technology important for anti-money laundering?

Graph-based analytics maps complex networks of transactions and relationships, enabling detection of money-laundering patterns that conventional rule-based monitoring systems often fail to identify.

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