Quantexa Earns Top Honors from Chartis Research in AML Transaction Monitoring and the RiskTech100

Decision Intelligence pioneer named a Category Leader in Chartis’ 2026 AML Transaction Monitoring Quadrant Update

Quantexa secures 18th place and wins the Industry Categories Trade Finance and Compliance awards in the RiskTech100® 2027 ranking

LONDON and NEW YORK, Sept. 24, 2026 (GLOBE NEWSWIRE) — Quantexa , a global data, analytics, and AI software company pioneering Decision Intelligence, today announced it has been named a Category Leader in Chartis Research’s RiskTech Quadrant® for AML Transaction Monitoring Solutions. The recognition marks an improved position from Chartis’ 2025 report, with Quantexa now positioned in the upper reaches of the Category Leaders quadrant, reflecting a strong combination of market potential and completeness of offering. It also adds to a broader upward trend across Chartis’ research that includes Quantexa’s continued climb in the RiskTech100, Chartis’ annual ranking of the world’s leading risk technology providers.

A Top-Tier Position in AML Transaction Monitoring In its 2026 update, Quantexa secured a leading spot the upper reaches of the quadrant, combining strong market potential with a comprehensive completeness of offering. Quantexa scored particularly high in the areas of ‘data and system integrations and risk typology modeling.

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Chartis’ 2026 report points to a market continuing to evolve from traditional transaction focused rules-based detection, towards behavioral analytics, graph analytics, data and ecosystem interoperability, convergence of fraud, AML, sanctions and other FinCrime functions and the targeted usage of artificial intelligence. The report identifies the vendors best positioned for the next phase of the market being those that, “combine effective detection with contextual intelligence, strong interoperability, flexible deployment and demonstrated improvements in investigation efficiency.”

“Quantexa was named a Category Leader in Chartis Research’s AML Transaction Monitoring Solutions, 2026: Quadrant Update, due in part to its data integration and contextualization, which are the foundation for the analytical capabilities of its composite AI approach supporting supervised machine learning (ML), unsupervised ML and natural language processing. The company’s risk modeling capabilities include pre-built models for multiple AML typologies, offering exploratory analysis, outlier detection, behavioral analysis, and a white-box architecture for model quality and validation. The framework is designed around continuous improvement, clean profile data, an open-scoring framework, large language model (LLM)-powered scenario simulation, and full-volume testing to confirm real-world capabilities.” — Sean O’Malley, Research Director for Financial Crime and Control, Chartis Research

“Financial crime networks don’t organize themselves around individual transactions and neither should we. They organize around relationships, facilitators and shared infrastructure.