Minerva's AI takes the manual work out of reading the news by using a two-layer neural network to assign sentiment and risk to each article as it relates to financial crime.
Key Benefits:






Minerva's contextual understanding of risk delivers only meaningful alerts, so your team focuses on genuine risks and eliminates wasted efforts.
Minerva consolidates critical risk information automatically, enabling analysts to make informed, evidence based decisions in a fraction of the time.
Minerva handles variations in data and understands context like an analyst, assigning the right data to the right customer profile, even with billions of data points.
Designed by AML industry experts and AI researchers, Minerva uses a two-layer neural network to surface fewer false positives. With streamlined Negative News analysis that includes sentiment evaluation and risk categorization, it's easy to keep up with your growing compliance needs.



Minerva is compliant with all applicable laws, regulations, and industry standards related to security, including SOC, ISO-27001, NIST. Our control framework also aligns with GDPR, PIPEDA, CIS CSA and CCPA.





Negative News is the swiss-army knife data set that completes a 360-degree view of the customer in addition to mandatory screening for Sanctions and PEPs.

Minerva's sentiment and risk analysis work together to strengthen your risk obligations by ensuring a complete picture is provided of your search subject to meet regulatory needs.

Minerva categorizes content using 29 Negative News labels related to financial crime, taken from regulatory and standard boards from around the world.

Here are answers to the questions we hear most often. Still have questions? Our team is ready to walk you through everything during a quick, no-pressure demo.
Get a DemoMinerva uses AI trained on 5+ million investigation decisions to understand context like an expert would. It recognizes when variations in names, addresses, or identifiers should or shouldn't be flagged as the same entity, reducing false positives while maintaining accuracy.