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AMLBot

AMLBot is a crypto compliance company founded in 2019 by chief executive Slava Demchuk, operating through Safelement Limited in Hong Kong and Safe3 UAB in Vilnius, Lithuania, and selling to crypto businesses that cannot staff a full compliance function. The platform covers know your transaction monitoring and wallet screening, customer and business identity verification spanning more than 4,000 document types across 240 countries with face and liveness checks, sanctions and politically exposed person screening and ultimate beneficial owner verification, and an investigation product called Tracer that traces flows across blockchains, bridges and swaps, with a newer AI Tracer for AI assisted fund tracing.

Behavioral alerts detect structuring and threshold evasion across multiple transactions. Asset recovery support, training and consulting on licenses and anti money laundering procedures sit alongside the software. The company states that its risk score is the average of conditional risk scores attached to on chain links from a screened address, drawn from three data sources it does not name. It states that it does not clean funds and does not guarantee that screened deposits will never trigger an exchange hold.

It contributes to Bybit's LazarusBounty program, works with law enforcement agencies in India, Thailand, Georgia, the Czech Republic, Ukraine and Kazakhstan, and names BTSE, ChangeNow, Simple Swap, Kolo, Trustee, Railgun, Defiway and Banana Gun among its customers. It states ISO 27001:2022 and ISO 9001:2015 certification and publishes a user agreement and a privacy policy that reaches its screening and verification services.

Last VerifiedOctober 2, 2026
Compare AMLBot with other vendors
Founded
2019
Headquarters
Causeway Bay, Hong Kong
Website
amlbot.com
Categories
crypto-and-digital-assets, aml-kyc-financial-crime
Assessment

Capability Axes

Capability grades

15 of 15 axes rated · 5 graded A or B

AI Capability
AI Centrality
CC on AI CentralityArtificial intelligence is present but peripheral: a feature layer on a product whose value stands without it.
Vendor Published

Risk scores average the conditional scores attached to an address's on chain links, which is aggregation rather than inference. The newer AI Tracer applies AI to fund tracing, but strip the models from the core screening product and a risk data aggregator with alerting and an investigation interface still stands.

Autonomy and Oversight Model
BB on Autonomy and Oversight ModelA written commitment that the models work alongside human judgment, with real review surfaces, short of the full control structure: commonly the threshold at which the system stops or what happens after it is wrong.
Vendor Published

Each customer sets its own risk thresholds, and alerts land with a person who reviews, prioritizes or dismisses them in a dashboard; published guidance lists what an audit trail must hold, down to the decision taken and who approved it. Nowhere does it say whether automatic acceptance or rejection can be configured or what the defaults do.

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

A 99.5 percent data accuracy claim arrives with no definition of accuracy and no sample, period or method behind it. Recall against a known illicit set, a validation method and notice of coverage changes are absent as well.

Operational and Outcome Evidence
BB on Operational and Outcome EvidenceVendor aggregate claims with real figures, or audited scale disclosures from a publicly listed company.
Vendor Published

Eight customers are named, BTSE, ChangeNow and Banana Gun among them, alongside aggregate claims of more than $100 million in risky funds detected and more than 2,500 investigations in 2025 and 2026. None of those customers carries a figure, and the customer count itself reads 300 on the homepage and 1,000 on the about page.

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

Resultant data survives termination under the user agreement while other licensee data is erased, and improving the service is a listed use of personal data. Whether one customer's screening queries or verified identities shape the risk scores others receive, or can be withheld, is left unstated.

Regulatory and Compliance
GLBA and Data Privacy Posture
BB on GLBA and Data Privacy PostureA substantive privacy document that reaches the product itself, short of the subprocessor list or the full data handling detail.
Vendor Published

Screening and identity verification fall inside the privacy policy, which names Safelement Limited in Hong Kong and Safe3 UAB in Lithuania as controllers by customer residence, covers biometric data from document checks and keeps inquiry data for up to three years. Transfers out of the European Economic Area rest on model contract clauses, and processors appear only by category, with Google Analytics the lone name.

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

ISO 27001:2022 and ISO 9001:2015 certifications appear on the certifications page as badges, with no certificate document, issuing body or scope, and the user agreement adds a 99 percent monthly availability commitment. Neither a SOC report nor a trust center is offered, leaving open whether the identity verification store sits inside the certified scope.

Regulatory Status and Licensure
CC on Regulatory Status and LicensureThe regulatory position is unstated. Most vendors in this index are technology suppliers and being unlicensed is the correct posture, so this grade records silence about the posture, not a missing license.
Vendor Published

Its material works through named regimes, FATF recommendations and European anti money laundering standards among them, builds originator and beneficiary transfer into the workflow, and sells consulting on obtaining crypto licenses. For itself, though, it states no authorization, registration or supervisory relationship, the usual posture for a technology supplier.

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

Taint travels along on chain links, so someone who received funds from a tainted counterparty carries part of it through no act of their own, and AMLBot concedes screening cannot guarantee against exchange holds. It publishes no false positive rate and no analysis of how scores fall by jurisdiction or by services common in particular regions.

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

Under the user agreement the service comes as is, liability is capped at fees paid, the licensee is responsible for decisions based on outputs and must indemnify the company. A person whose funds are refused on an AMLBot score is not its customer and has no published route to contest it.

Integration and Deployment
Model Supply Chain Disclosure
CC on Model Supply Chain DisclosureThe architecture is described and no provider is named.
Vendor Published

Three data sources feed the risk scores and none is named, though in blockchain analytics the attribution provider decides chain coverage and how fast new illicit services are recognized. AI Tracer names no model provider either, and the identity verification partner handling document images is given only by category.

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

Reference documentation covers the transaction monitoring API, AMLBot says it handles integration itself so the customer's developers stay on their own work, and identity verification goes live in a day. Coverage spans multiple blockchains, bridges and stablecoins, yet the homepage and about page name no exchange, custody platform or wallet provider as a ready connector.

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

Identity checks collect document images, facial biometrics and liveness captures across 240 countries, yet the hosted service names no provider, region or residency commitment for that material. Several of its markets regulate where such data may be processed.

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

One free offer is concrete: an address can be verified once and then monitored on a continuing basis at no charge. Paid use has no published unit, whether screened address, monitored wallet or seat, and every other route runs through a conversation with the team.

Institution and Segment Coverage
CC on Institution and Segment CoverageSegments claimed broadly, banks, fintechs, credit unions, without evidence any of them has its own maintained surface.
Vendor Published

Exchanges, wallets and virtual asset service providers are all addressed, with material pitched at teams too small to build compliance in house, and named customers run from wallets such as Trustee to protocols such as Railgun. Reach is claimed across 25 jurisdictions, yet no bank, payment institution or custodian appears among the names.

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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.

Entry Price Pricing Basis Data Protection Terms Implementation Source
Not published. No price, unit, tier or contract term is shown; free continuing monitoring of a verified address is offered.
Quoted per customer. Nothing published indicates whether charging follows addresses screened, transactions monitored, customers verified, seats or a platform subscription, or whether components are licensed separately. Positioning is affordability led toward crypto businesses without in house compliance teams, and the free continuing monitoring of a single verified address suggests a usage based model above that threshold without confirming one. Not tiered on any published pricing. AMLBot's privacy policy reaches its screening and identity verification services, names Safelement Limited and Safe3 UAB as controllers by customer residence and keeps inquiry data for up to three years; its user agreement caps liability at fees paid and commits to 99 percent monthly availability. It states ISO 27001:2022 and ISO 9001:2015 certification without a certificate document. No implementation, integration or professional services fee is published. AMLBot states that it handles integration so the customer's developers stay on their own work, and puts identity verification setup at one day. Consulting on crypto licenses, banking relationships, anti money laundering procedures and staff training is a separate services line with no published rate. Support runs around the clock through Telegram. Vendor Published

AMLBot publishes no rate card, unit or tier as of 2 October 2026. One free offer is published: an address can be verified once and then monitored on a continuing basis at no charge, which lets a small operator use the core screening capability without a commercial relationship.

A paying buyer still cannot establish the commercial shape across transaction monitoring, wallet screening, identity verification, investigation tooling, asset recovery support and licensing consultancy, which would ordinarily carry different models.

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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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