Madrid | February 2, 2026. The fight against financial crime demands more than cutting-edge technology – it demands leaders who understand the landscape from the inside out. Venancio brings nearly three decades of experience at the intersection of financial services and technology, making him uniquely equipped to lead Lynx Tech into its next phase of global growth.
Over the course of his career, Venancio has held senior leadership roles in technology, operations, and commercial strategy across some of the most dynamic organizations in fintech and payments. For the past 14 years he has been closely linked to Ebury, the global fintech powerhouse specializing in international payments, where for 10 of those years he served as Chief Operations Officer. In that role, he led the international growth and backoffice expansion of the company, scaling its operations across markets worldwide. Since 2022, he has served as a non-executive director for Ebury’s European business and as a strategic advisor — bringing the full depth of that institutional knowledge to bear.
Prior to Ebury, Venancio co-founded technology ventures and held executive roles in software development, mobility, web and cybersecurity. He has also worked with leading organizations in telecommunications and consulting.
Accelerating our mission
At Lynx, our mission is clear: to stay one step ahead of fraud and financial crime through advanced, self-learning AI – protecting financial institutions, their customers, and the integrity of the global financial system.
With Venancio at the helm, we enter 2026 with renewed momentum and sharp focus. His operational expertise, international track record, and deep understanding of the payments and fintech ecosystem are exactly what Lynx needs to accelerate global expansion, deepen client partnerships, and continue pushing the boundaries of what AI can achieve in fraud prevention.
As Lynx continues to protect more than 300 million users and 58 billion transactions annually across 9 countries, the next chapter is about scaling that impact — faster, further, and with greater precision than ever before.
Looking Ahead
Financial crime does not stand still. Fraudsters grow more sophisticated by the day, leveraging AI and automation to execute attacks at unprecedented speed and scale. At Lynx, we meet that challenge with our Daily Adaptive Models — technology that retrains itself daily, detects entire fraud networks, and adapts to new patterns before they cause harm.
Under Venancio’s leadership, Lynx will continue to invest in innovation, grow its global footprint, and deliver the kind of transformational outcomes our clients have come to expect.
We are proud to welcome Venancio to the Lynx family and look forward to everything we will build together.
To learn more about Lynx’s AI-powered fraud prevention and AML solutions, request a demo or contact our team.
Madrid, December 12, 2025 – Lynx has been recognized by Chartis Research as one of the 50 most relevant companies in the field of technology solutions for retail banking, according to its “Retail Banking Analytics50” report. The ranking places Lynx at position #46, highlighting its ability to drive innovation in fraud in technologies that support financial institutions’ fraud-prevention and financial-crime risk-management processes.
This recognition underscores Lynx’s commitment to combining artificial intelligence, behavioral analytics, graph analysis, and real-time decisioning engines to help identify patterns and atypical behaviors that may be relevant for financial institutions’ fraud-prevention and anti–money-laundering processes. These capabilities enable financial institutions to better protect their customers and strengthen their resilience against increasingly sophisticated threats.
“This milestone reflects our technological evolution and the work of the entire team. It motivates us to continue deepening our high-impact solutions that support financial institutions as they advance their fraud-prevention efforts and strengthen their regulatory-compliance processes,” says Julio Monseco, Director of Professional Services at Lynx.
Digital transactions are now an essential part of modern life and the foundation of today’s financial system. However, as they expand, so do the methods criminals use to exploit users — employing increasingly sophisticated tactics to manipulate information or divert funds. As technological systems become more secure, fraudsters focus their efforts on the weakest link: the end user, who can be deceived in moments of pressure or emotional vulnerability.
In this context, strengthening a culture of prevention and promoting responsible habits becomes key to maintaining trust in the digital ecosystem. Lynx, a leader in fraud and anti–money laundering (AML) prevention through Artificial Intelligence (AI) and Machine Learning (ML), highlights the importance of understanding fraud’s impact not only on individuals or companies, but on the entire network sustaining the digital economy. Authorized fraud, identity impersonation, and the new capabilities of generative AI — such as voice cloning — are increasing users’ exposure, making awareness and education more critical than ever.
“When personal data is misused or banking mules intervene in transactions, the impact transcends the individual and tests the integrity of the financial system as a whole. Technology can help identify irregular patterns and reduce risks, but its effectiveness depends on an essential factor: collective awareness,” says Carlos Santa Cruz, founder and CTO of Lynx.
Digital fraud is not only combated with technological tools, but also with information and collaboration. Today’s scams can be presented from a known number, imitating the voice of a family member or simulating urgent instructions, which requires users to develop stronger verification criteria. Promoting awareness, verifying each transaction and being alert to suspicious messages or links are simple practices that strengthen everyone’s security. Consolidating a trustworthy financial environment requires the active participation of every user: a network where technology and awareness work together to sustain the basis of all digital exchange, trust.
““Anyone can become a victim if approached at the wrong emotional moment. Understanding one’s own financial behavior and recognizing unusual signals are key to avoiding increasingly convincing scams. Understanding how fraud works — and assuming the shared responsibility of preventing it — are essential steps to preserve the most valuable asset of the ecosystem: trust,” , concludes Carlos Santa Cruz, Founder and CTO of Lynx.
London, October 1, 2025.– Lynx has been recognized at the PAY360 Awards 2025 in the category Best Initiative in Utilising Data or AI, an award that reinforces the company’s position as a benchmark in the application of advanced artificial intelligence for fraud and money laundering prevention.
Best Initiative in Utilising Data or AI Lynx
The differentiating value of our solution lies in the Daily Adaptive Models (DAM), which are constantly retrained with real-time data to anticipate new fraud tactics, maintaining high accuracy and drastically reducing false positives in an increasingly complex payments environment.
Detecting fraud in payment systems is a classification problem. Transactions need to be accurately classified as genuine or fraudulent to enable legitimate transactions and prevent fraud. Fraud risk scoring analyzes transactions for the likelihood of fraud and holds the key to the transaction classification problem. A strictly rules-based approach to risk scoring, based on predefined logic rules, is not sufficient because fraud techniques are complex and ever-evolving. Only machine learning (ML) algorithms can predict fraud likelihood both accurately and in real time.
Globally, APPF accounts for 75% of all digital banking fraud and APPF losses across the US, UK, and India are expected to reach $5.25 billion by 2026*, according to FinTech Global. In the United Kingdom alone, £485.2 million in authorized push payment fraud occurred in 2023**. It has never been more important for financial institutions to accurately detect and prevent fraudulent transactions. In this scenario, the use of applied AI and dynamic machine learning models becomes a strategic priority for financial institutions.
Carlos Santa Cruz, CTO of Lynx, stated:
“We are very proud that PAY360 recognizes the difference our approach makes. Every day our models evolve with the environment, helping financial institutions to stop fraud without penalizing the digital experience of their customers. This is applied innovation, not theory.”
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.
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.
