In the realm of web3, numerous companies rely on anti-money laundering (AML) tools to combat fraud. Unfortunately, these tools are limited in their effectiveness, as they can only label and apply rules-based algorithms to a mere 1-5% of Ethereum addresses. Enter SmartTrust, a groundbreaking project that aims to bridge this gap by introducing predictive artificial intelligence (AI) models to verify the remaining 95-99% of addresses. With an impressive backtested predictive probability of 98%, SmartTrust is committed to further enhancing the underlying algorithm to ensure even greater accuracy and reliability.