QuantaVerse, the only company to offer an end-to-end financial crime platform that uses AI and machine learning to automate the majority of the AML investigation process, has announced new enhancements to its AI Financial Crime Platform. These capabilities were delivered to help QuantaVerse customers reduce overall AML compliance costs by automating time-consuming investigative tasks and finding criminality faster and more accurately.
“We are continually innovating and rolling out new features and improvements to meet the needs of our customers,” explained David McLaughlin, CEO and Founder of QuantaVerse. “Specifically, these new capabilities reinforce our commitment to helping customers significantly cut AML costs while remaining effective in identifying financial crime risk.”
The following are some of the key enhancements added to the QuantaVerse platform over the past six months:
Direct and Indirect Relationship Agents: To more accurately discover instances of potential criminality, relationship-focused AI agents can now analyze non-transactional connections, such as parent-subsidiary, shareholder, and employee connections, to better define the risk of transacting parties.
QuantaVerse offers advanced AI solutions that identify patterns and discern anomalies that current approaches and systems regularly miss. Unlike RPA and AI-enabled AML tools that accelerate individual steps within an investigative process, QuantaVerse’s end-to-end financial crime platform eliminates more than 80 percent of investigative efforts through automation. With QuantaVerse, investigators can assess more cases each day, and use QuantaVerse Financial Crime Reports to more quickly file SARs when required. Working with banks and their regulators, QuantaVerse’s AML solutions have been proven to reduce investigative costs by as much as 40 percent.
For more information and to schedule a demo of the new enhancements, please visit www.QuantaVerse.net/contact.