Merkle Science
Merkle Science provides blockchain analytics and predictive crypto risk monitoring for compliance teams.
Founded
2018Merkle Science provides blockchain analytics and predictive crypto risk monitoring for compliance teams.
Merkle Science's flagship offering, Compass, provides predictive transaction and wallet monitoring for AML, KYC, and CFT compliance, using a behavior-based rule engine that flags suspicious activity before addresses appear on standard blacklists. Tracker is the company's forensic investigation product, offering cross-chain tracing across more than 10,000 assets and 200 bridges to support hack, scam, and exploit response.
The company also operates a Data Platform that lets analysts and investigators run custom queries over blockchain data at scale, and Onchain Pulse, an AI-powered risk intelligence product that scores tokens and virtual asset service providers across blockchains, flagging sanctions exposure, darknet activity, and CSAM-linked flows. Together these products serve crypto businesses, financial institutions, and government agencies.
Merkle Science operates in a market shaped by intensifying regulation, including U.S. enforcement actions, NYDFS and FinCEN guidance, sanctions on mixers such as Tornado Cash, and newer frameworks like the EU's MiCA regime and the U.S. GENIUS Act for stablecoins. These forces push crypto businesses, financial institutions, and government agencies toward predictive monitoring and forensic tooling rather than manual or blacklist-only compliance.
Demand is broadening beyond exchanges to stablecoin issuers, payment companies, DeFi and NFT platforms, and public-sector buyers, with privacy-preserving networks such as Aleo and tokenization platforms such as VerifiedX seeking compliance-ready integrations. Merkle Science has aligned its roadmap accordingly, launching Onchain Pulse for token and VASP risk scoring, expanding training and certification offerings around MiCAR and crypto investigation, and distributing Tracker to U.S. government agencies through Carahsoft.
Merkle Science differentiates itself with a behavior-based rule engine that assesses transaction risk prospectively rather than relying solely on backward-looking blacklists, which the company argues are inherently reactive. Its platform pairs this engine with machine-learning attribution, which its materials credit with industry-leading sanctions attribution for Russian and Iranian exchanges, and with cross-chain tracing spanning more than 10,000 assets and 200 bridges.
The company also emphasizes speed of coverage, integrating new chains and tokens ahead of typical industry timelines, and practical investigative depth such as Tron and EVM demixing, chain-hopping analysis, and 24/7 monitoring with real-time alerting. Its client base across web3, banking, and government sectors, plus distribution partnerships like Carahsoft for the U.S. public sector, reinforce its positioning in regulated markets.