Automatically cleanse data from internal and external sources to prepare for optimal screening. Our system makes provision for OFAC as well as for watch- and sanction lists from different providers.
Our graphical user interface makes it easy to build and configure rules for entity screening based on the imported data, and can be configured in advance to make post-screening analysis easier.
Gain a comprehensive list of possible matches using the wide-net search process. Apply exclusion filters (PEP, SIP, RCA, Gender, In-country-PEPs etc) to narrow down the scope and work towards the final ‘match’. The final match is recorded with a copy of the input data and all the possible matches along with details of the scores for audit purposes.
Our system allows you to manage tasks across multiple teams and track status of reviews through graphical analytics on the dashboard. Easily export matches to spreadsheets for further analysis.
Book a demo and get critical insight into our unique approach.
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.
Book a demo and get critical insight into our unique approach,
approved by world leaders in risk management.