Explainable AI to accurately verify names of people and organizations against vast databases. AML/KYC systems for financial compliance, government intelligence, and law enforcement agencies worldwide adopt Rosette® because it misses fewer matches and reduces the number of false positives. Matching names of people, locations, and organizations are obscured by misspellings, aliases, nicknames, initials, and names in different languages. Our name indexer solves these challenges by blending machine learning with traditional name matching techniques, such as name lists, common key, and rules, to determine a match score. This score can also consider fuzzy matches in other fields (including address and date of birth). At the same time, Rosette explains the reasons for the match score, such as gender mismatch, missing or out-of-order name component, and missing or added space.