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How A Leading Payment Company Used AI to Combat Money Laundering

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Key Features

Move beyond identity verification - prioritise risk cases and improving screening efficiency

Risk-based approach to transaction monitoring

Flexible rules, segments, blacklists, whitelists and exceptions that can be adjusted to suit an organization's risk policies

Machine learning for anomaly detection

Relational analysis to discover fund structuring

Serves multiple transaction use cases, from remittance to exchanges, to crypto payments

Integration with external data sources, KYC providers as well as internal customer and transaction history