Reduce Non-compliance With
Improve the effectiveness of your CDD programme with an accurate 360-degree customer risk profile based on multiple dimensions using advanced machine learning models.
Customer Risk is Always Changing
Need to monitor multiple customer data such as identity, fund source and transaction data to accurately capture risk.
Changing KYC data, transaction patterns, customer network and associated risk results in highly incorrect risk categorisation.
Periodic refreshes and customer profile changes are not automatically updated causing huge backlogs.
De-risk Business with Dynamic Risk Scoring
360-degree Risk View
Get a holistic customer risk profile based on multiple dimensions such as demographics, geography, screening and transactional patterns.
Accurate Risk Score
Get a more accurate risk score through our pre-configured rule engine with 160+ rules and unsupervised and supervised machine learning models.
Streamline due diligence with an automated event-driven risk profiling which triggers based on customer behaviour.
What Makes Customer Risk Scoring Unique?
Real-time Risk Scoring
Real-time APIs to accurately risk score prospects using pre-configured rules for safer onboarding.
Pre-configured Rule Engine
Extensive profile-based risk scoring with 160+ pre-configured rules and the option to configure new rules to align with business-specific risk.
Dynamic Risk Engine
Get accurate risk scores through our dynamic risk engine using unsupervised models to compare customer behaviour with that of their peers and supervised learning to compare the customers' behaviour with their historical behaviour.
Identify complex relationships and visualize hidden risks among different customers and Interested Parties.