Build and define rules easily using our flexible graphical user interface. No need to write code.
Rapidly test scenarios and assess the impact of new rules and regulations in the platform's ‘sandbox’ simulator before going live.
Run transaction monitoring together with machine learning. Our system produces two scores: one from rule-based scenarios; and the other from advanced machine learning algorithms. You can then compare these scores to understand and prioritise your teams daily workload.
Enable your teams to co-manage cases through a single, self-auditing platform that defines and unifies every step of an investigation.
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.Learn more
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.Learn more
Screen clients or entities against designated sanction lists while leveraging a machine-learning programme and advanced fuzzy matching algorithms to reduce false positives.Learn more
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.Learn more
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.Learn more
Screen entities against designated sanctions and watch lists using advanced fuzzy matching algorithms to reduce false positives.Learn more
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