Name Matching

Name Matching is an AI-driven process using fuzzy logic and phonetic algorithms (like Soundex) to accurately link non-exact name variants across databases, languages, and scripts.

This technology is critical for financial compliance (AML/KYC) and fraud detection, where exact matches are rare. It employs advanced machine learning and cross-script transliteration to resolve identity ambiguity: matching 'William' to 'Bill,' or linking 'Xi Jinping' to its Chinese or Arabic script variants. The core function is to analyze orthographic, phonetic, and cultural differences, assigning a probabilistic score (e.g., 95%) to potential matches. Accurate matching drastically reduces false positives and false negatives (missed matches) when screening against high-risk lists (sanctions, PEPs), ensuring regulatory adherence and preventing millions in fines.

https://www.amlnetwork.org/name-matching-technology-overview/