Press Releases

 QuantaVerse is now offering HRER Fast Start to banks interested in cutting costs and improving the accuracy and consistency of their high-risk entity review program. In no more than 60 days,* QuantaVerse can launch HRER and return the first month of QuantaVerse High-Risk Entity Reports.

QuantaVerse introduced an additional Financial Crime Investigation Report that addresses the specific needs of Level 1 AML compliance teams. The new report helps reduce the average time spent investigating an alert by over 50 percent.

QuantaVerse finished 2020 well-positioned for continued growth in 2021 due to its dedicated focus on solving AML challenges and a commitment to innovation. In 2020, QuantaVerse introduced a series of technology enhancements to its AI-powered Financial Crime Platform.

QuantaVerse, which uses AI and machine learning to automate financial crime identification and investigations, was recently recognized with three prestigious financial services and regulatory technology awards. These awards build on the company’s success in 2020 and serve as a testament to its industry leadership.

Citing a surge in client demand, QuantaVerse, which uses AI and machine learning to automate financial crime identification and investigations, has enhanced its entity-based Financial Crime Investigation Report, or FCIR, to assist financial institutions in efficiently conducting periodic entity risk reviews.

Compliance teams today are under increasing pressure to reduce risk and drive financial crime out of their institutions utilizing existing and, sometimes, limited resources. With more than 20 years of sales experience in the risk, compliance, and financial crime arena, Aaron Stroud has a deep understanding of the challenges facing the financial industry, and how to address their pain points.

QuantaVerse enhanced its Financial Crime Investigation Report (FCIR) so AML cases can be accurately adjudicated more efficiently than ever before. Among other critical information, the QuantaVerse FCIR presents investigators an at-a-glance analysis of transactional relationships, negative news, and money laundering typologies along with risk scores calculated by the QuantaVerse machine learning engine and narratives needed to clear a case or document a suspicious activity report (SAR) submission.

QuantaVerse engaged an independent model validation firm to ensure the regulatory rigor of its AI and machine learning platform. Leveraging its proprietary modeling framework to thoroughly analyze QuantaVerse’s AI solutions, the firm delivered a comprehensive model validation.

Jurisdiction identification, one capability of the QuantaVerse Pre-TMS Entity Resolution & Risk Scoring solution, is now available as a standalone function for banks looking to reduce risk and false positives, and increase efficiency of AML/BSA investigations...

New QuantaVerse Features Help Financial Institutions Curtail AML Compliance Costs

New adaptations of QuantaVerse Alert Investigator offer automated alert investigation and business continuity as Coronavirus impacts teams of people responsible for identifying financial crime

QuantaVerse, the first in the market with artificial intelligence (AI) solutions purpose-built for identifying financial crimes, has signed a three-year agreement with the Banco…

QuantaVerse, the first in the market with artificial intelligence (AI) solutions purpose-built for identifying financial crimes, has appointed technology and…

Last week, QuantaVerse, a data science company founded specifically to help the financial services industry, was chosen as the winner of the…

QuantaVerse has secured new financing from private equity investors. This latest round of funding has raised the current investment in…

Financial services industry veteran David McLaughlin today announced the formation of QuantaVerse, a new data science technology company focused on providing…