Custom risk models
Create separate scoring models for individuals, corporates, products, or jurisdictions.
Score every customer continuously across KYC, behavioral, geographic, and product-risk dimensions. Custom models. Full explainability. Re-evaluation on every signal that matters.








Perpetually updated in real-time with every transaction, activity, and changes in profile.
Each row in the policy → a weighted input
Out of the box, fully aligned to FATF principles. Or define your own. Every variable is consistent and fully customizable.
Scores re-compute on transactions, profile changes and periodic reviews, from onboarding to offboarding, not just at sign-up.
Balance machine speed with human oversight. Every score is explainable: see exactly how it was calculated, weight by weight.
Configure every factor, weight, rule, and override. Scores update dynamically as risk signals change.
Create separate scoring models for individuals, corporates, products, or jurisdictions.
Assign configurable weights to any risk variable across onboarding, behavioral, transactional, and geographical risk.
Apply default scores, reweighting, forced classifications, and policy overrides without changing the underlying model.
Scores recalculate automatically when customer profiles, transactions, screening results, or reviews change.
Every score is traceable to the variables, weights, overrides, and source data behind it.
Learn more about our scoring engineFrom real-time signals to governed decisions, built for compliance teams and regulators.
Ingest KYC data, screening results, transactions, and operational events from across your systems.
Risk scores recalculate continuously as customer behavior and risk indicators change.
Thresholds initiate EDD, reviews, restrictions, escalations, or enhanced monitoring automatically.
Analysts view score breakdowns, overrides, history, and evidence to make informed decisions.
Risk intelligence applied at every stage to reduce friction, detect risk early, and ensure ongoing compliance.
Initial score determines whether a customer goes through standard, enhanced, or simplified due diligence.
When transaction patterns drift, the customer is re-scored and routed to monitoring without manual triage.
Risk increased due to behavioral change
Higher risk customers are reviewed quarterly; lower risk customers every two years. Schedules and reminders run themselves.
We'll model your existing risk framework on a sample population and show how dynamic scoring changes the picture.