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Lynx Tech is recognized by Gartner® in its 2025 Market Guide for Anti-Money Laundering
The Lynx AML solution integrates advanced solutions to help financial institutions detect and prevent money laundering with greater accuracy and efficiency
Mexico City, 9th of September of 2025.- Lynx Tech, a leading company in Artificial Intelligence (AI) and Machine Learning (ML) based technologies, announced its recognition as a Representative Vendor in the Gartner® Market Guide for Anti-Money Laundering (AML) with its Lynx AML product. This Market Guide can help you to understand the market trends and sample vendors in the continuing fight against illicit money movements. This recognition comes in a challenging context for financial institutions. There is more money laundering to prevent; events are harder to detect; and cases take longer to resolve, increasing operational and regulatory pressure on banks and authorities. According to Gartner, global illicit flows are estimated to be between $4.5 and $6 billion by 2030. Money laundering remains one of the main threats to the global financial system. However, many banks continue to rely on legacy solutions based on business rules engines (BRE), which calculate risk score by combining customer and transaction data against predefined typologies. While this approach complies with a regulatory vision, it is not effective in detecting unprecedented patterns or preventing crime. The result is an excess of alerts and extensive backlogs of cases, which, according to Gartner, are generating burnout among researchers in banks and an even more complex scene in public agencies, where the lack of specialized profiles such as data scientists and forensic accountants aggravates delays and reduces the effectiveness of investigations. Given this situation, Lynx AML differentiates itself by combining the best of both worlds: it allows institutions to apply simple and complex rules to cover familiar typologies while its machine learning models uncover unusual patterns that analysts have not yet classified. All this is enhanced by the quality of the data that feed the rules and models, enabling pre-emptive detection and reducing significantly false positives. Lynx AML responds to the market need by offering a comprehensive and dynamic approach that combines:
- Transaction Monitoring (TM): powered by Lynx Layouts, which enables customers to seamlessly load data across subsidiaries, business lines and products in a non-code and fully configurable environment. This flexibility ensures the quality and consistency of the information used in rules and models.
- Decision Engine (DE): powered by hybrid machine learning models that reduce false positives and improve anomaly detection.
- Real-time reporting: configurable dashboards that deliver ready-to-use and customizable KPIs and KRIs, allowing immediate visibility of emerging risks, team performance and operational effectiveness.
“To us, being included in the Gartner Market Guide for AML represents Lynx’s commitment to the fight against financial crime,” says Carlos Santa Cruz, Lynx’s CTO. “At Lynx we have applied our experience in Artificial Intelligence for fraud detection and prevention for years, and now we are bringing that knowledge to the anti-money laundering field with a clear vision: the convergence of both worlds. Cases like the use of money mules demonstrate that fraud and laundering cannot be addressed separately, and our technology is designed to respond to that reality with a unified and efficient approach.”
Alyssa Iyer, product expert for money laundering prevention (AML) at Lynx Tech, commented:
“The evolution of Lynx AML reflects our vision to deliver a comprehensive solution that focuses not only on fraud prevention, but also on money laundering prevention in a single ecosystem. We believe this mention in the Gartner report validates our effort to lead innovation in regulatory compliance and financial security.”
On December 2024, Lynx was recognized for the first time in a Gartner® report as a Representative Vendor in Fraud Detection in Banking Payments’ Market Guide, which we think highlights our innovation in AI-based fraud prevention solutions. Lynx’s evolution toward a broader portfolio of comprehensive solutions for the fight against financial crime is evident. In addition to these Gartner recognitions, Lynx stands out in industry reports and quadrants (Chartis, CB Insights, among others), consolidating its leadership and expanding its customer and protected transaction volume. Download the Gartner Market Guide for money laundering prevention
Gartner® Disclaimer:
Gartner®, Market Guide for Anti-Money Laundering, By Pete Redshaw, 5 August 2025 GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
About Lynx:
Lynx is an AI-powered software company specialised in Anti-Money Laundering (AML) and fraud prevention. With over 30 years of experience since its origins as a non-profit organization at the Autonomous University of Madrid, the company offers advanced AI solutions that efficiently identify and mitigate financial crime risks. Its modular approach integrates seamlessly with existing systems and includes tools such as customer verification, payment screening, transaction monitoring, and customized data lists to strengthen regulatory compliance. Lynx is a trusted solution for financial institutions and payment service providers, helping clients save up to $1.6 billion annually and protect more than 73 billion transactions, based on internal global usage estimates. For more information visit https://lynxtech.com.
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