AI Against Fraud &
Financial Crime
Our platform uses AI to detect fraud and money laundering in real-time and learn new fraud attacks and genuine patterns automatically.
Lynx was born to lead the fight against fraud and financial crime through advanced AI technologies, continuous innovation and deep industry expertise.
About usOur game-changing solutions
Explore our Anti-Fraud & Anti-Money Laundering products
Lynx Fraud
Prevention
Our expert AI solution to detect,
prevent, and mitigate fraud across all
channels.
Lynx AML
AI designed to detect financial crime and streamline compliance operations.
Lynx Money Mule
Account Detection
Identify illicit sources of funds and mule accounts in real-time, to stop trillions of illicit funds flowing through the global financial system each year.
Achievements in
numbers
Transactions
01
+0 Billion
Transactions protected annually globally
Performance
02
<0 MS
response time (99,99%)
Scalable
03
0 TPS
We process more than 1500 transactions per second
04
0+ Million
Users protected against fraud and proceeds of crime annually
Global presence
05
0 Countries
Customers from around the world trust us
Global Impact
Lynx is trusted by multinational companies around the world whose customers span the globe.
Lynx illuminates and protects the world from fraud and financial crime.
Our capability to protect is second to none.
10
COUNTRIES
Spain - Brazil - Peru - Germany - United Kingdom - Mexico - United States - Chile - Portugal - Poland
5
SALES OFFICES
Spain - Brazil - Mexico - United Kingdom -Colombia
+300 M
PROTECTED CUSTOMER
United States - Europe - South America
Latest articles
Thought leadership, latest articles, solution guides and news.
All articlesArticles - 26 Nov 2024
Navigating Sanctions in a Faster Payments World: 4 Key AML Insights
Articles - 21 Nov 2024
4 Ways Financial Institutions Can Stop Money Mules in Their Tracks
News - 24 Oct 2024
Lynx named to CB Insights’ Fintech 100
Articles - 14 Oct 2024
The Social Responsibility of Preventing Money Mules in Banking
Articles - 11 Oct 2024
Whitepaper: Unlock Real-Time Fraud Detection with Supervised Machine Learning