Real time transaction monitoring for PSPs & Merchant Acquirers with award-winning machine learning

Instantly Catch Suspicious Merchant and Customer Behavior

Get a clear view of payment risks with real time multi-entity profiling of key parties like merchants, issuers and customers.

Pinpoint illicit behavior regardless of a lack of historical context, using award-winning Adaptive Behavioral Analytics to peer-profile entities’ behavior against those with similar characteristics.

Quickly detect anomalous activity using the most dynamic and innovative profiling techniques, while minimizing false positives.

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Surface Unknown Threats

Detect new suspicious activity with unparalleled anomaly detection

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Multi-Entity Analysis

Analyze transactions and networks across all jurisdictions


Detect Risk More Efficiently

Truly adaptive machine learning models spot new and known suspicious behavior in real time

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Reduce and Prioritize Alerts

Maximum efficiency with automatically prioritized alerts and decreased case volumes

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Explainable Models

Self-learning, explainable machine learning models with clear reason code extraction


100% POCs Won

Featurespace consistently selected across all use cases in proof of concepts

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ARIC Risk Hub for PSP AML