Cognitive AI for AML Monitoring
That Doesn’t Miss a Move
Detect financial crime with precision.
Less noise, faster compliance, and at scale.
The Growing Pressure of AML Monitoring
AML monitoring is designed to catch suspicious financial behavior—flagging patterns like structuring, layering, or rapid fund movement that could signal money laundering.
But for many institutions, traditional tools aren’t keeping up:
- Static rules miss subtle, emerging typologies.
- False positives overwhelm analysts and delay investigations.
- Cross-border activity introduces complexity and blind spots.
- Legacy systems lack transparency, making audits painful.
ThetaRay’s Cognitive AI changes the game—adapting to unknown threats, reducing alert noise, and delivering explainable, regulator-ready results that compliance teams can trust.
Experience Cognitive AI AML
Monitoring Firsthand
Discover how you can upgrade to smarter, transaction monitoring compliance. We’ll tailor the demo to your specific use case.
Why Choose ThetaRay for AML Monitoring
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Detect All Risk
Our AI doesn’t just look for known patterns—it finds emerging risks and complex typologies that rules miss.
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High-Scale Risk Detection
Monitor complex transactions with speed, precision, and complete visibility.
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Cut False Positives by
Up to 80%Reduce alert noise and investigation time so your team can focus on true risks.
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Regulator-Ready AI
Explainable logic and full audit trails built for global AML requirements.
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Easy Integration, Fast ROI
Cloud-native, scalable, and easy to integrate into your existing ecosystem via RESTful API.
See the Platform in Action
Effective AML monitoring. Cognitive AI technology. Accurate risk detection.
What Our Customers Say
Experience Cognitive AI AML
Monitoring Firsthand
Discover how you can upgrade to smarter, transaction monitoring
compliance. We’ll tailor the demo to your specific use case.
Compliance Confidence + Technical Trust
ISO 27001 &
GDPR Compliant
Aligned with FATF,
BSA, and Global AML Frameworks
Explainable AI built
for auditability
Used by AML teams across 40+ countries