AML, KYC & Financial Crime
A

AnChain.AI

AnChain.AI is a San Francisco company founded in Silicon Valley in 2018 and led by Victor Fang, selling AI native blockchain intelligence to investigators, compliance teams, regulators, law firms and payment companies, and has raised close to $20 million from investors. Three products carry the line. Insights is an agentic investigation platform: agents built on OpenAI and Anthropic models start from an investigation goal, trace cryptocurrency across chains and bridges with the patented Auto Trace, assess risk and generate auditable reports, and an Auto Report feature formats findings for Financial Action Task Force, suspicious activity report, currency transaction report and Crypto Asset Reporting Framework use, while ZTAgent guardrails detect known prompt injection patterns and block unauthorized tool requests before they run.

A data product delivers risk scores, entity clustering and sanctions screening through an application programming interface (API) and a Model Context Protocol server with outputs structured for large language model tool calling. Screen analyzes smart contract source code and bytecode for risk and exploits. Around them sit a crypto tracing and expert witness service used in litigation, an agentic AI advisory practice, and AnChain.AI University, which runs courses leading to Certified Web3 Investigator and Certified Smart Contract Investigator credentials.

The company enumerates sixteen machine learning and language models publicly, naming the technique behind each, marking five as patented and citing academic provenance for several, including a Kyoto University paper on bytecode similarity, a paper from the Massachusetts Institute of Technology and Berkeley on wash trading detection for non fungible tokens and Berkeley DataX material on bot behavior detection. Stated figures include more than $870 million in asset seizures and recoveries, a trillion transactions processed, coverage of more than 41 blockchains and over a billion address labels.

Developer access is open: the Model Context Protocol server is open source on GitHub, packages ship for Python on PyPI and JavaScript on npm, and a free key with 1,000 credits and free Insights access come without a procurement cycle. It completed a SOC 2 Type II attestation in October 2024 and shows an AWS GovCloud badge. Forbes reported a Securities and Exchange Commission engagement to investigate decentralized finance transactions in 2021.

Last VerifiedOctober 13, 2026
Compare AnChain.AI with other vendors
Founded
2018
Headquarters
San Francisco, California, United States
Website
www.anchain.ai
Categories
aml-kyc-financial-crime, compliance-and-surveillance, crypto-and-digital-assets
Assessment

Capability Axes

Capability grades

15 of 15 axes rated · 9 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

Sixteen models are inventoried with the technique named for each, from two Auto Trace graph search engines to a generative transformer that reads smart contract functions and a fine tuned language model with retrieval for financial crime. Its billion address labels are themselves model output, and the data product exists to feed other agents through a Model Context Protocol server.

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

What a person must approve before a report leaves the platform, or how an analyst overrides an agent, goes undescribed. Insights agents start from an investigation goal, trace money flows across chains and draft reports with one click, while ZTAgent guardrails inspect sensitive agent actions in real time and block unauthorized tool requests before they execute.

Model Risk Management and Transparency
BB on Model Risk Management and TransparencyReal transparency mechanisms are published, such as per alert explainability, confidence scoring or split testing, without the validation package or supervisory mapping behind them.
Vendor Published

Five models are marked as patented, and several cite academic work a reviewer can read, such as the Kyoto University paper behind bytecode similarity search and the MIT and Berkeley paper behind wash trading detection. Accuracy, recall and false positive figures appear for none of the models, and no validation report or monitoring statement accompanies them.

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

Gustavo Tremel, chief executive of VAAS, reports analysis time falling from fifteen minutes to thirty seconds across more than a million transactions, and David Cass, chief information security officer at GSR, says the platform saved several full time equivalents. The company's own totals, $870 million in seizures and recoveries and a trillion transactions processed, come with no method.

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

Law enforcement case files share the platform with commercial traffic, and no published line says how an agency's inquiries are walled off from a commercial client's. Whether screening queries or case material feed the shared label set, or how long either is kept, goes unaddressed.

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

The privacy policy, revised January 1, 2025, stops at contact details, cookies and usage data and never reaches the case material, litigation evidence or screening queries customers put through the platform. With no retention periods or processing terms published for that material, a buyer bound by its own confidentiality duties has no published terms to rely on before uploading case files.

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

Audit firm, trust services criteria and report access are all unpublished, and there is no trust center or ISO certification. Completion of a SOC 2 Type II attestation against the American Institute of Certified Public Accountants standard was announced in October 2024, with chief executive Victor Fang quoted.

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

Report generation compatible with suspicious activity and currency transaction report formats is a listed feature, an IRS Criminal Investigation executive is quoted by name, and Forbes reported a 2021 SEC engagement on DeFi transactions. That engagement has no current status, and logos from Japan's Financial Services Agency and Dubai's virtual asset regulator come with no described relationship.

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

Propagated crypto risk raises a plain fairness question, how an address that unknowingly received funds several hops from a flagged source gets scored, and the model inventory never addresses it. Fairness testing goes unpublished, and nothing says who approves a model change or retrain.

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

Behind a risk score itself AnChain.AI makes no commitment, and a business refused through its payment screening has no described route to see the evidence or contest the attribution. Expert witness work and court ready reporting put the tracing methods through cross examination, and Insights produces auditable investigation reports that keep observed evidence apart from relationships the analysis deduces.

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

Which foundation model sits under the fine tuned financial crime language model is unstated, and no subprocessor list is published. Insights agents run on OpenAI and Anthropic models, Amazon Web Services and Nvidia are named as infrastructure suppliers, and the in house models are listed one by one with the technique behind each.

Core Systems and Integration Depth
AA on Core Systems and Integration DepthNamed integrations with the systems of record, core banking, policy administration, custodial or contact center platforms, verifiable in marketplace listings or public API documentation.
Vendor Published

Core banking and case management connectors go unnamed, but the developer surface is open: the data API and Model Context Protocol server are open source on GitHub, with a Python client on PyPI, a JavaScript package on npm, stated latency of 100 milliseconds on most endpoints and 99.99 percent uptime. Payment screening serves more than 17,000 MetaMask users.

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

Neither an on premises option nor a transfer mechanism is described, and which products run in AWS GovCloud, whether a commercial customer can use it and which region holds its data are all unstated. Infrastructure comes from Amazon Web Services, whose GovCloud badge the company displays.

Commercial
Commercial Transparency
BB on Commercial TransparencyA published plan ladder, billing dimensions, or a stated commitment such as no fees, so a buyer can size the cost before making contact.
Vendor Published

Credit prices, overage rates and paid tiers go unpublished for the data product, the platform and the investigation service. A free key carrying 1,000 credits needs no contact, and investigators can sign up for Insights at no cost.

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

Public sector investigators, legal and accounting firms, and virtual asset businesses each get their own material and named references across more than 41 blockchains. Banks show up only as logos, DBS Bank among them, with no material written for them.

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.

Entry Price Pricing Basis Data Protection Terms Implementation Source
Not published as a figure. A free API key with 1,000 credits and free Insights platform access are available without contact; paid use is quoted.
The company describes its pricing as flexible and publishes no tier structure, quota or seat model. Credits are the metering unit for the data API, since the free allocation is denominated in them, but no credit price, refill rate or overage terms are stated. Insights platform access, the investigation and expert witness service and the agentic AI advisory practice are quoted separately. The API and Model Context Protocol server are open source on GitHub, with a Python client on PyPI and a JavaScript package on npm. Not tiered on the pricing page. The privacy policy of 1 January 2025 covers website and contact data rather than platform data, and no data processing agreement or subprocessor list is published. No implementation fee is published, and self serve API onboarding needs no contact. Agentic AI advisory, crypto tracing, litigation support and AnChain.AI University courses are sold as engagements or courses without published rates. Vendor Published

Entry terms reflect the free key and free Insights access offered on 13 October 2026. What credits cost at volume and how platform access is priced are not published.

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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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