The problem

Every year, about 2%-5% of the world’s GDP is involved in money laundering activities.

This is equivalent to almost 2.5 trillion dollars per year destined to fraudulent actions.

The solution

Anti-Money Laundering (AML) identifies the existence, nature, source, ownership, location, and disposition of property derived from fraudulent transactions.

When the system identifies a fraudulent transaction, it flags it for expert analysis.

The technology

AML uses Fuzzy Match Levenshtein distance, a string metric to detect the difference between two sequences.

Current systems are limited to time-bound checks against 10,000-entry lists published by governments or specialized firms.