Our advanced platform for financial crime detection provides focus on irregular activities and prioritizes transaction patterns that require further examination. Unleash the power of a combined analysis of products, customers and associated risks. Identify relevant cases at the earliest stage with minimal interruption to existing workflows. Remove data silos with a holistic approach to detecting suspicious activity. Minimize enforcement exposure, significantly reduce false-positive rates and increase overall efficiency.
Unsupervised machine learning to detect unknown events, reduce false positives, and increase operational efficiency.
Automatic, precise detection using advanced machine learning technology.
3rd Party Alert Reduction
Focus on the alerts that matter, with meaningful detection to reduce false positive rates.
KYC Risk Score Anomalies
Identify inconsistencies in customer risk scores across all processes and databases.
0million transactions
0% AML cases detected
0New patterns detected
0times more accurate
Case Study: AML for Correspondent Banking
Download our case study to find out more about how ThetaRay’s financial crime solutions detected the earliest signs of money laundering patterns for a global bank, using only SWIFT data.