Merkle Science provides a predictive risk and intelligence platform that utilizes machine learning for behavior-based transaction monitoring and cross-chain analytics to detect and prevent crypto-related fraud. The platform enables businesses and government agencies to comply with AML and KYC regulations while effectively managing risks associated with cryptocurrency transactions.
Funding
$25.6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
CDDC+2Founders
Product
Problem
Cryptocurrency businesses, financial institutions, and government agencies face increasing challenges in detecting and preventing illicit activities involving cryptocurrencies, including fraud, money laundering, and sanctions violations. Traditional blacklists are often insufficient to identify sophisticated criminals operating outside known bad actor databases, while the decentralized nature of crypto assets makes cross-chain transaction monitoring complex.
Solution
Merkle Science offers an AI-powered, behavior-based transaction monitoring and risk intelligence platform designed to detect, investigate, and prevent crypto-related crime. The platform provides enhanced due diligence, cross-chain analytics, and entity reporting, enabling businesses and government agencies to comply with AML, KYC, and CFT regulations. By leveraging machine learning, Merkle Science identifies suspicious transactions beyond traditional blacklists and offers predictive risk scores for tokens and Virtual Asset Service Providers (VASPs). The platform's capabilities extend to tracing stolen crypto, uncovering hidden patterns, and generating detailed evidence reports for investigations.
Target Audience
Merkle Science serves cryptocurrency businesses seeking to automate compliance and AML processes, financial institutions managing crypto and fiat AML exposure, and government agencies investigating crypto crime.
Features
- Behavior-based transaction monitoring to identify sophisticated criminals beyond traditional blacklists.
- Cross-chain analytics covering over 10,000 assets and 200 bridges for comprehensive risk assessment.
- AI-powered analytics for smarter decision-making and in-depth research.
- Risk scoring for tokens across blockchains, flagging sanctions, darknet activity, and CSAM.
- Real-time mitigation technology for proactive threat detection and prevention on EVM chains and Tron.
- Investigation tools to trace stolen crypto, uncover hidden patterns, and identify exit nodes.
- Training and certification programs for compliance and investigation teams.