Draft:AnChain.AI

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Declined by Bonadea 13 days ago. Last edited by Bonadea 13 days ago. Reviewer: Inform author.

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AnChain.AI is an American artificial intelligence and blockchain analytics company headquartered in San Francisco, California. Founded by data scientist and cybersecurity researcher Victor Fang, Ph.D., the company develops agentic-AI software for anti-money-laundering (AML), fraud investigation, and compliance monitoring across cryptocurrency, decentralized finance (DeFi), and digital-asset ecosystems. AnChain.AI’s technology has been utilized by the U.S. Securities and Exchange Commission (SEC), the IRS, and the FinCEN to monitor blockchain transactions and strengthen digital-asset oversight.^[1]^[2]

Overview

Established in 2018, AnChain.AI applies artificial intelligence and blockchain forensics to financial-crime investigation and compliance automation. Its analytics systems have supported more than US$870 million in asset seizures and recoveries worldwide and analyzed over one trillion fiat and blockchain transactions.^[3] The company’s clients include government agencies, financial institutions, and digital-asset service providers seeking to meet global AML/CFT and FATF compliance standards.

History

AnChain.AI was founded in 2018 by Victor Fang, Ph.D., a cybersecurity researcher and data-science leader previously with Mandiant (later acquired by Google Cloud). Before establishing AnChain.AI, Fang worked in data-science and fraud-detection roles at Amazon Payments, FireEye, and Pivotal Software, where he authored more than twenty-five patents related to AI-based anomaly detection and network-security automation.^[4]^[5]

He earned a Ph.D. in Computer Science from the University of Cincinnati and has served as a guest lecturer at the University of California, Berkeley, teaching data science and entrepreneurship.^[6] Under Fang’s leadership, AnChain.AI joined the Berkeley Blockchain Xcelerator in 2019 and expanded internationally, providing blockchain-compliance and investigation solutions to clients in more than thirty countries.^[7]

Technology

AnChain.AI’s platforms integrate graph-analysis, byte-code inspection, and large-language-model reasoning in a framework branded as Auto-Trace AI. This engine performs cross-chain tracing across both UTXO-based and smart-contract blockchains, supports sanction-screening and risk-scoring, and automates travel-rule and suspicious-activity reporting.^[8] The system is available through modular suites:

CISO ™ – investigation and case-management platform for compliance teams and regulators
SCREEN ™ – real-time transaction-monitoring and address-risk engine
BEI ™ API – blockchain-forensics interface for enterprise integration
WEB3SOC ™ – Web3 security-operations console

Government and Regulatory Engagement

AnChain.AI gained public attention in 2021 when Forbes reported that the SEC had contracted the firm to help monitor DeFi transactions.^[9] Subsequent filings on USAspending.gov and the Federal Procurement Data System document additional contracts with the IRS and FinCEN for blockchain-analytics and data-subscription services.^[10] A 2025 memorandum from the SEC’s Crypto Task Force referenced AnChain.AI’s technology in digital-asset analysis.^[11] Fox Business later cited the company’s tools in coverage on AI-assisted crypto-crime investigation.^[12]

Research and academic collaboration

AnChain.AI has collaborated with academic institutions on blockchain-forensics and AI-ethics research. The National University of Singapore’s FinTech Lab and Kyoto University featured the company in a 2024 symposium on “AI in Financial Services.”^[13] The Massachusetts Institute of Technology's Technology Review referenced AnChain.AI in reporting on blockchain-security research and the evolution of exploit detection.^[14] At the University of California, Berkeley, Data X highlighted AnChain.AI’s analysis of automated-trading bot behavior and associated financial risks.^[15]

Recognition

AnChain.AI was named a finalist in the RSA Conference Innovation Sandbox Contest in 2023^[16] and was selected for the 2025 FinTech Innovation Lab New York cohort.^[17]

Leadership and Advisors

As of 2025, AnChain.AI’s leadership includes founder and chief executive officer Victor Fang, Ph.D., and a board of advisors composed of figures from cybersecurity, government, and venture capital. Advisors include:

Scott Walker – former Senior Advisor for Crypto Regulation at the U.S. SEC.<ref>{{cite web |title=Former SEC Crypto Regulation Expert Scott Walker Joins AnChain.AI as Strategic Advisor
Cristóbal Conde – former Chief Executive Officer of SunGard and current board member of Nasdaq.
David Lum – General Partner at Andreessen Horowitz–backed fund 256 Ventures and former cybersecurity executive at Arista Networks.
Alexis Berman – former investigator at the IRS Criminal Investigation division. These advisors provide expertise on digital-asset regulation, AML compliance, and enterprise-security operations.

References

^ Ehrlich, Steven (27 August 2021). "SEC Signs Deal To Investigate DeFi Transactions". Forbes. Retrieved 13 October 2025.
^ "Federal Procurement Data – AnChain.AI Contracts". USAspending.gov. Retrieved 13 October 2025.
^ "AnChain.AI – Crypto Investigations and AML Compliance Overview". AnChain.AI. 2025. Retrieved 13 October 2025.
^ "Victor Fang All Patents". Victor Fang. Retrieved 13 October 2025.
^ "Victor Fang Google Patents". Google Patents. Retrieved 13 October 2025.
^ "AnChain.AI Virtual Info Session". University of California, Berkeley. Retrieved 13 October 2025.
^ "AnChain.AI Overview – Crunchbase". Crunchbase. Retrieved 13 October 2025.
^ "AnChain.AI Products – CISO, SCREEN, BEI and WEB3SOC". AnChain.AI. Retrieved 13 October 2025.
^ Ehrlich, Steven (27 August 2021). "SEC Signs Deal To Investigate DeFi Transactions". Forbes. Retrieved 13 October 2025.
^ "Federal Procurement Data – AnChain.AI Contracts". USAspending.gov. Retrieved 13 October 2025.
^ "SEC CTF Memo – AnChain.AI" (PDF). SEC.gov. Retrieved 13 October 2025.
^ "Crypto criminals beware: AI is coming". Fox Business. Retrieved 13 October 2025.
^ "AI in Financial Services: Who Controls It, Who Benefits, and Who Sets the Rules?". NUS FinTech Lab / Kyoto University Workshop. 2024. Retrieved 13 October 2025.
^ "Once hailed as unhackable, blockchains are now getting hacked". MIT Technology Review. 2019. Retrieved 13 October 2025.
^ "The Use of Trading Bots Leads to Great Financial Losses Compared to Real Trading". UC Berkeley Data X Lab. Retrieved 13 October 2025.
^ "RSAC Innovation Sandbox Finalists 2023". RSA Conference. Retrieved 13 October 2025.
^ "FinTech Innovation Lab New York Announces 2025 Class". FinTech Innovation Lab New York. 2025. Retrieved 13 October 2025.

External links

[1] Ehrlich, Steven (27 August 2021). "SEC Signs Deal To Investigate DeFi Transactions". Forbes. Retrieved 13 October 2025.

[2] "Federal Procurement Data – AnChain.AI Contracts". USAspending.gov. Retrieved 13 October 2025.

[3] "AnChain.AI – Crypto Investigations and AML Compliance Overview". AnChain.AI. 2025. Retrieved 13 October 2025.

[4] "Victor Fang All Patents". Victor Fang. Retrieved 13 October 2025.

[5] "Victor Fang Google Patents". Google Patents. Retrieved 13 October 2025.

[6] "AnChain.AI Virtual Info Session". University of California, Berkeley. Retrieved 13 October 2025.

[7] "AnChain.AI Overview – Crunchbase". Crunchbase. Retrieved 13 October 2025.

[8] "AnChain.AI Products – CISO, SCREEN, BEI and WEB3SOC". AnChain.AI. Retrieved 13 October 2025.

[9] Ehrlich, Steven (27 August 2021). "SEC Signs Deal To Investigate DeFi Transactions". Forbes. Retrieved 13 October 2025.

[10] "Federal Procurement Data – AnChain.AI Contracts". USAspending.gov. Retrieved 13 October 2025.

[11] "SEC CTF Memo – AnChain.AI" (PDF). SEC.gov. Retrieved 13 October 2025.

[12] "Crypto criminals beware: AI is coming". Fox Business. Retrieved 13 October 2025.

[13] "AI in Financial Services: Who Controls It, Who Benefits, and Who Sets the Rules?". NUS FinTech Lab / Kyoto University Workshop. 2024. Retrieved 13 October 2025.

[14] "Once hailed as unhackable, blockchains are now getting hacked". MIT Technology Review. 2019. Retrieved 13 October 2025.

[15] "The Use of Trading Bots Leads to Great Financial Losses Compared to Real Trading". UC Berkeley Data X Lab. Retrieved 13 October 2025.

[16] "RSAC Innovation Sandbox Finalists 2023". RSA Conference. Retrieved 13 October 2025.

[17] "FinTech Innovation Lab New York Announces 2025 Class". FinTech Innovation Lab New York. 2025. Retrieved 13 October 2025.

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