Minerva named Top AI & Data Product in the 2024 Product Awards

Anti-money laundering compliance solution selected by product leaders as a top tool for financial institutions
BusinessWireMarch 14, 20244 min

Minerva, a leader in Anti-Money Laundering (AML) compliance technology, announced that it has been named a Top AI & Data product in the 2024 Product Awards. The 7th Annual Product Awards, presented by Products That Count in partnership with Mighty Capital and Capgemini, is the only awards program designed to celebrate the tools that help Product Managers build great products.

Nominees are chosen by Products That Count’s product manager network, and winners are chosen by an independent Awards Advisory Board composed of top product leaders. This year’s Board included product leaders from companies like Bank of America, Amazon’s Twitch, and S&P Global.

Minerva is a real-time client risk and AML assessment platform that enables investigators to make accurate and high-quality risk decisions in just a few minutes. Using sophisticated deep learning models and neural networks to analyze billions of data points and sources in real-time across 147 languages, Minerva helps compliance teams get ahead of financial crime, prevent money laundering, and comply with government regulations. Artificial intelligence (AI) enables the automation of a manual process that could take hours or days, returning results 300 times faster and reducing costs by 55 percent. Minerva is trusted by leading financial institutions that require faster, more accurate risk assessment results.

“Great tools are the Product Manager’s secret weapon,” said SC Moatti, Founder and Board Chair of Products That Count, “essential for staying ahead in the competitive market landscape. I congratulate Minerva on defining product excellence in 2024 and beyond.”

“This award highlights the innovative approach we have taken to addressing risk assessment and ensuring AML compliance for financial institutions. Using AI, Minerva instantly understands context, sentiment, and risk across structured, unstructured, open source, and proprietary data, and uses those insights to create context rich customer profiles and predictive risk analysis, in real time,” said Jennifer Arnold, co-founder and CEO of Minerva. “Deep neural networks enable automation so that Minerva can provide ongoing monitoring, empowering continuous risk assessment.”

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