A customer-centric view of a client - fully automated.
Machine learning and advanced analytics for automatic pattern identification and risk assessment. Process automation and monitoring through workflow and case management. Real-time searching over billions of transactions and data-points. Easy integration with your existing dashboards, AML and KYC systems.
Dramatically reduce false positives, while still detecting truly suspicious activity, with our machine learning-enabled transaction monitoring system designed to be used by non-technical business users in organisations of all sizes.
Run real-time searches on payment or transactional data against multiple watch and sanctions lists to make rapid decisions about the level of risk associated with payments beneficiaries and originators.
Screen clients or entities against designated sanction lists while leveraging a machine-learning programme and advanced fuzzy matching algorithms to reduce false positives.
Gain additional deeper insights about your customer’s activity with an automated ongoing review of all customer data - including transactions, payments and screening results - against their expected behaviour.
Perform enhanced risk assessments to generate a risk level for each client. Use these levels as part of a risk-based assessment to optimise your screening and monitoring processes.
Screen entities against designated sanctions and watch lists using advanced fuzzy matching algorithms to reduce false positives.
Ingest, enrich and analyse unprecedented quantities of data from multiple sources in real-time at a fraction of the cost (and in a fraction of the time) of legacy systems. Adding insight, whatever the sector.LEARN MORE