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Castellum AI Agent Passes Compliance Exam as Regulators Embrace AI

July 8, 2025•PYMNTS•Original Link•2 minutes
AI
Compliance
FinancialCrime

Castellum's AI agent aced a financial compliance exam, signaling a shift in regulatory acceptance of AI-driven solutions for anti-money laundering and fraud detection.

Key Highlights:

  • Castellum.AI’s artificial intelligence (AI) agent passed the Certified Anti-Money Laundering Specialist (CAMS) practice exam on its first attempt, a feat typically reserved for human compliance officers.
  • The New York-based startup closed an $8.5M Series A round led by Curql, with participation from BTech Consortium and Framework Venture Partners.
  • The funding will accelerate product development and expand integrations for mid-tier financial institutions struggling to combat sophisticated fraud.

AI vs. Financial Crime: A New Arms Race

CEO Peter Piatetsky, a former U.S. Treasury sanctions officer, founded Castellum in 2019 with a focus on first-party data. Unlike competitors relying on third-party feeds, Castellum scrapes and standardizes data directly from hundreds of global government and press sources, updating every five minutes.

  • AI agents leverage this proprietary database to screen sanctions, detect fraud, and draft suspicious activity reports (SARs) in milliseconds.
  • The company corrects errors in government sanctions lists, maintaining a public “Department of Corrections” for regulators like OFAC and the UN.

Real-Time Compliance for Crypto and Traditional Finance

With real-time payments and crypto transactions demanding faster compliance checks, Castellum’s AI eliminates batch processing delays:

  • Crypto exchanges and stablecoin issuers use its platform for instant sanctions screening.
  • Community banks and credit unions can bring compliance back in-house, reducing reliance on offshore review teams.

Regulatory Shift: From Skepticism to Acceptance

Piatetsky noted regulators have moved from questioning AI to demanding proof it works. Castellum addresses this by:

  • Training custom AI models for each client, tested on both known and unknown alerts.
  • Delivering 90% fewer false positives by cleaning and enriching raw government data.

What’s Next?

Castellum plans to:

  • Hire engineers for deeper core banking integrations.
  • Have its AI agent officially certified by taking the proctored CAMS exam.
  • Scale its platform to more institutions, emphasizing speed and accuracy in the fight against AI-powered financial crime.

“Our product works, and clients love it. It’s time to scale,” Piatetsky said.

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About the Author

Dr. Lisa Kim

Dr. Lisa Kim

AI Ethics Researcher

Leading expert in AI ethics and responsible AI development with 13 years of research experience. Former member of Microsoft AI Ethics Committee, now provides consulting for multiple international AI governance organizations. Regularly contributes AI ethics articles to top-tier journals like Nature and Science.

Expertise

AI Ethics
Algorithmic Fairness
AI Governance
Responsible AI
Experience
13 years
Publications
95+
Credentials
2
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