“Reputation in anti-money laundering is everything,” says Celia Pizzi, Chief Complience Officer of Travelex Bank in Brasil. “A good monitoring and screening transactions solution is vital.
Novatti Group selected and implemented ThetaRay’s transaction monitoring solution “Sonar”, providing
the confidence of a safety
net to catch criminal crime.
“We operate in a non-face-to-face environment
ThetaRay enables us to adapt and move quickly
“ThetaRay helps ZeePay enable migrant workers to provide for their families through safe, real-time remittance payments.
SONAR, ThetaRay’s AI-powered SaaS AML transaction monitoring and screening solution, enables fintechs, banks, and regulators to embed trust in cross-border and domestic payments while driving financial growth.
A new breed of transaction monitoring, ThetaRay’s advanced AI method, using proprietary and patented algorithms, detects anomalies in unlimited data sets to reliably pinpoint suspected cases of money laundering in transactions with virtually no false positives, delivering an effective solution for AML compliance.
ThetaRay’s unique form of AI and machine learning (ML) methodology ‒ artificial intelligence intuition ‒ is deployed to analyze risk indicators associated with financial crimes. This risk-based AI approach paints a clear picture for FIU teams by detecting abnormal activity and effectively calculating and pinpointing transactions indicating suspicious activities.
Identifying risks more accurately and precisely enables you to grow business with partners in countries and segments considered to be high risk.
Using SONAR AI analysts cut by more than 50% time spent on investigations, reducing overall cost of compliance.
AI human bias, giving the system the power to recognize anomalies and find unknowns outside of normal behavior, including completely new typologies.
Up to 99% fewer false positives compared with rules- based systems.
SONAR delivers reliable results, with some 95% of flagged transactions detection worthy.
Coverage for all known money-laundering risks using a multi-layered solution including unsupervised, semi-supervised and rules.
Identify risks more accurately and precisely to grow business in countries and segments considered to be higher risk.
Detect anomalies that signal threats and radically reduce false positive alerts by up to 99%. With some 95% of flagged transactions detection worthy. Reduce time spent by analysts on investigations by more than 50% for more effective AML compliance operations.
Our proprietary AI method replaces human bias, giving the system the power to recognize anomalies and find unknowns outside of normal behavior, including completely new typologies.
Value to customer within weeks. Conduct highly complex analytics on huge volumes of data in hours instead of months.