AML, KYC & Financial Crime
M

Merkle Science

Merkle Science supplies blockchain transaction monitoring and intelligence to crypto asset businesses, custodians, protocols, banks, government agencies and law enforcement, positioning itself against list based incumbents on method. Compass combines traditional transaction monitoring with behavior based rules, scoring wallets in real time from customizable rules and behavioral models and keeping any searched address under watch for risk changes, with alerts configured by jurisdiction, line of business and policy.

Tracker supports forensic investigation with crosschain coverage of 10,000 assets and 200 bridges, Know Your Blockchain Business profiles crypto counterparties from on and off chain data, and Onchain Pulse scores token and ecosystem risk for networks including Hedera, Stellar, Sui and Polkadot. Its Institute runs certifications for compliance teams and investigators. StraitsX, Finoa, Susquehanna and the Sui Foundation are among its named users. The company says it has been building since 2018, gives a Brooklyn address and keeps offices in London, Singapore and Bangalore.

Last VerifiedOctober 13, 2026
Compare Merkle Science with other vendors
Founded
2018
Headquarters
Brooklyn, New York, United States
Categories
aml-kyc-financial-crime, fraud-and-transaction-risk, compliance-and-surveillance
Assessment

Capability Axes

Capability grades

15 of 15 axes rated · 7 graded A or B

AI Capability
AI Centrality
AA on AI CentralityThe artificial intelligence is the product. Remove the models and there is nothing left to sell.
Vendor Published

Risk scores come from how wallets behave rather than from membership of a known bad list, with machine learning tracking suspicious activity and Onchain Pulse scoring ecosystem risk. What would survive their removal is a list of illicit addresses, the very product this company positions itself against.

Autonomy and Oversight Model
CC on Autonomy and Oversight ModelAutonomy is claimed and oversight is asserted without a mechanism, or full automation is presented as the entire disclosure. Human in the loop appears as a phrase rather than a described control.
Vendor Published

Compass screens automatically before a relationship begins and again across existing customers, with real time scores produced without human involvement. An institution can define its own risky patterns through the behavioral rule engine, but at decision time no confidence indication or review threshold accompanies a flag.

Model Risk Management and Transparency
CC on Model Risk Management and TransparencyTransparency is claimed in general terms with no mechanism a model validator could interrogate.
Vendor Published

Blacklists can be audited by reading them, while a predictive engine needs a hit rate, and none is given across customers: no accuracy, precision or false positive figure, and no account of validation or of monitoring as laundering techniques shift. What exists is rule level auditability, with Finoa exporting rule changelogs and tracking which rules generate the most alerts, plus one engagement in which StraitsX judged over 90 percent of flagged entities likely linked to mule laundering.

Operational and Outcome Evidence
AA on Operational and Outcome EvidenceNamed customers with hard performance figures and enough method to test them.
Vendor Published

StraitsX, a digital financial services provider, used Merkle Science's behavior based analysis to find more than 250 previously unknown consolidation wallets behind coordinated stablecoin withdrawals, judged over 90 percent of flagged entities likely linked to money mule laundering and cut manual investigation time by about 80 percent. The engagement followed a stated method, from defining the mule pattern through wallet clustering to risk scoring. Finoa, a crypto custodian, reports less manual work from the dashboard and rule engine, and Dean Carlson of Susquehanna is quoted on predictive monitoring.

AI Safety and Data Stewardship
CC on AI Safety and Data StewardshipGeneral assurances that do not answer the question this axis asks, which is whether one customer’s data trains models serving its competitors. Unbounded cross client learning stated with no boundary grades here too.
Vendor Published

Intelligence accumulated through one exchange's monitoring can strengthen the crypto crime database sold to its competitors, since behavioral models improve with exposure. The privacy policy is silent on model training, and a customer's ability to keep its investigation activity out of the shared database is not addressed.

Regulatory and Compliance
GLBA and Data Privacy Posture
CC on GLBA and Data Privacy PostureA standard privacy policy that covers the website rather than the service, or silence on a product that touches limited consumer data.
Vendor Published

Account details and cryptocurrency addresses are associated with public ledger information under a privacy policy that names customers, yet it sets no retention periods, carries no update date and describes no access, correction or deletion rights. Identifying the people behind addresses is Tracker's stated purpose, which makes those identifications the sensitive output.

Security Certifications and Trust Center
BB on Security Certifications and Trust CenterA recognized certification named in the vendor’s own material without the artifact, or with a scope or renewal question the buyer has to raise.
Vendor Published

Auditors go unnamed, and a General Data Protection Regulation compliance certification listed beside the two is not a recognized credential. ISO 27001 certification has been held since August 2021, scoped to the design, development and release of its monitoring and investigation products, and a SOC 2 Type II report since March 2023.

Regulatory Status and Licensure
BB on Regulatory Status and LicensureThe regulatory position is clearly stated and appropriate to the product, with part of the verification left to the buyer.
Vendor Published

Products map onto anti money laundering, know your customer and counter terrorist financing rules, with compliance under the European Union's Markets in Crypto Assets Regulation named and an Institute training compliance teams and investigators. Verification of those mappings is left to the buyer, and no register entry appears.

AI Governance and Bias Disclosure
CC on AI Governance and Bias DisclosureResponsible artificial intelligence committed to in policy language with no evaluation behind it, on a product whose bias surface is modest.
Vendor Published

Predicting risk from behavior means flagging addresses that have done nothing identifiably wrong, a different kind of error from a list match, on top of attribution mistakes and risk spreading to parties several hops away. How often that inference lands on an innocent party is not measured in anything published.

AI Liability and Recourse
CC on AI Liability and RecourseMechanisms that enable challenge, such as audit trails and source traceability, with nothing standing behind the output and no route for the person affected.
Vendor Published

Graph analysis gives the institution forensic evidence it can check against the public ledger and contest. A person flagged by behavioral prediction may never have touched anything illicit and is not told the flag exists, with no published correction route or statement of what the vendor owes when a prediction proves unfounded.

Integration and Deployment
Model Supply Chain Disclosure
BB on Model Supply Chain DisclosureSubstantial partial disclosure, or a chain that is structurally short: an explicit in house build, on premise deployment, per customer instances, or zero retention at the model layer.
Vendor Published

Public ledgers anyone can verify are the primary input and the behavioral engine is built in house. Other law enforcement lists, any model provider for the analytics and a subprocessor list go unnamed, though sanctions data from the Office of Foreign Assets Control (OFAC) is named among screening sources.

Core Systems and Integration Depth
BB on Core Systems and Integration DepthNamed systems or a documented public API, with the depth or the production evidence left open.
Vendor Published

21 Analytics documents Merkle Science as a configurable risk provider in its Travel Rule software, a link verifiable in another platform's documentation. Compass, Tracker and KYBB cover monitoring, investigation and due diligence with tracing across more than 200 bridges, while institution side systems and public developer documentation are absent from its own site.

Deployment Model and Data Residency
CC on Deployment Model and Data ResidencyCloud only with nothing stated, which is the category norm.
Vendor Published

Where the platform is hosted, and under what residency commitment, is unpublished, and the privacy policy names no storage or transfer location. Exchanges, banks and government agencies each carry their own rules on where investigation data may sit.

Commercial
Commercial Transparency
CC on Commercial TransparencyNo price is published and engagement runs through a demo form, which is the norm in this index.
Vendor Published

Booking a demonstration is the only way in, with no pricing, packaging or charging basis published. Whether charges fall per address screened, per transaction monitored or per seat is not indicated.

Institution and Segment Coverage
BB on Institution and Segment CoverageNamed segments with dedicated material behind part of the coverage.
Vendor Published

Crypto asset businesses, trading firms and blockchain foundations are addressed alongside banks, government agencies and law enforcement, with regulation covered across Asia, Europe and the United States. Banks appear without a named bank customer.

Head to Head

Compared With

Most editorial comparisons pair two vendors the index assesses as direct competitors for the same buyer. Some pair vendors that are adjacent rather than rival, where the useful question is where one ends and the other begins. Each carries a verdict, the buyer conditions that favor each vendor, and a graded side by side.

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The index publishes no overall score or ranking. See what we assess and the methodology.

Commercial

Pricing

Vendor-published figures are labeled as such. Figures labeled “Estimated” are derived from third-party sources and have not been confirmed by the vendor.

No pricing data has been verified for this vendor. Pricing information will be published here once confirmed through vendor disclosure or third-party estimation.

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AI FinTech Index

The AI FinTech Index is an independent index that tracks changes to AI vendors in financial services. It holds 610 vendors across banking, lending, insurance, wealth, capital markets and financial crime compliance, each graded on the same 15 capability axes from public sources. No vendor pays for inclusion, placement, or rating.

Index Status
Last index update
October 20, 2026
The AI FinTech Index is an editorial reference, not a regulatory body. Vendor data is verified against published sources and public regulatory filings. Figures labeled “Estimated” have not been confirmed by the vendor. See the Methodology page for evaluation standards and limitations.
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