Deploy the universal APIs to rapidly import data from internal and external sources and perform real-time searches on specific customer cases.
Translate your risk appetite into a set of policies that can be easily implemented in the system.
Apply your company policies on ingested entities and reference lists.
Use workflow to review only high risk entities.
Use advanced Natural Language Processing techniques to highlight relevant terms for matching based on context.
Support analyst reviews of matches using visual cues.
Use machine learning classification to reduce false positives
Use language specific policies to reduce false positives.
Leverage all available data to improve matching accuracy, including machine learning enabled face similarity.
A machine learning-enabled platform that allows non-technical business users in organisations of all sizes to rapidly build rules and increase efficiency within their Transaction Monitoring processes.LEARN MORE
Screen transactions, clients and data against sanction and PEP lists, while leveraging our machine learning programme and advanced fuzzy matching algorithms to sharply reduce
An innovative application that allows you to automatically assess the consistency of accounts against KYC data, re-evaluate risk ranking of customers and automatically identify customer behavioural anomalies.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