Customer risk scoring that keeps up with real behavior

Score every customer continuously across KYC, behavioral, geographic, and product-risk dimensions. Custom models. Full explainability. Re-evaluation on every signal that matters.

GDPR Compliant
AICB Asian Institute of Chartered Bankers
ISO 27001 Information security certified
Cyber Essentials Security controls assessed
MAS FSTI Proof of concept grant
Singapore Pawnbrokers' Association Official compliance partner
Standard Chartered Team background
Bank of Singapore Team background
Citibank Team background
Morgan Stanley Team background

Real-time risk scoring

Perpetually updated in real-time with every transaction, activity, and changes in profile.

Weighted policy factors

Each row in the policy → a weighted input

Adjusted Score
57/100
High Risk
Computed Score
39/100
Medium Risk
Factor WeightsTotal 100%
  • Monthly Transaction Amount22%78
  • Payment Mode18%65
  • Onboarding Mode12%55
  • ID Expiry10%20
  • Duration as Client10%25
  • Industry10%72
  • Product Exposure10%78
  • ID Type8%15
FactorMonthly Transaction Amount
Weight22%
Sub-score78/100
ReasonVolume above peer-group baseline

Score every customer consistently and dynamically

  1. 01

    100+ pre-loaded risk variables

    Out of the box, fully aligned to FATF principles. Or define your own. Every variable is consistent and fully customizable.

  2. 02

    Real-time, lifecycle-aware updates

    Scores re-compute on transactions, profile changes and periodic reviews, from onboarding to offboarding, not just at sign-up.

  3. 03

    Automation with full transparency

    Balance machine speed with human oversight. Every score is explainable: see exactly how it was calculated, weight by weight.

Risk models built from your compliance policy

Configure every factor, weight, rule, and override. Scores update dynamically as risk signals change.

Custom risk models

Create separate scoring models for individuals, corporates, products, or jurisdictions.

Model typeIndividualCorporateProduct

Weighted variables

Assign configurable weights to any risk variable across onboarding, behavioral, transactional, and geographical risk.

Transaction amount22%
Payment mode18%
Country risk17%
Occupation17%

Overrides & exceptions

Apply default scores, reweighting, forced classifications, and policy overrides without changing the underlying model.

Override appliedYesOverride reasonPEP - Senior OfficialForced classificationHigh Risk

Dynamic re-scoring

Scores recalculate automatically when customer profiles, transactions, screening results, or reviews change.

Previous score42/ 100
Updated score57/ 100
Recalculated in real time

Every score is traceable to the variables, weights, overrides, and source data behind it.

Learn more about our scoring engine

Operationalize risk into actionable outcomes

From real-time signals to governed decisions, built for compliance teams and regulators.

01

Capture risk signals

Ingest KYC data, screening results, transactions, and operational events from across your systems.

02

Calculate risk dynamically

Risk scores recalculate continuously as customer behavior and risk indicators change.

03

Trigger operational workflows

Thresholds initiate EDD, reviews, restrictions, escalations, or enhanced monitoring automatically.

04

Review with full explainability

Analysts view score breakdowns, overrides, history, and evidence to make informed decisions.

Used across the customer lifecycle

Risk intelligence applied at every stage to reduce friction, detect risk early, and ensure ongoing compliance.

Risk-based onboarding paths

Initial score determines whether a customer goes through standard, enhanced, or simplified due diligence.

Initial Risk Score42/ 100
Onboarding PathEnhanced
  1. Basic Info
  2. 2Risk Assessment
  3. 3EDD
  4. 4Review

Behavioral escalation

When transaction patterns drift, the customer is re-scored and routed to monitoring without manual triage.

Previous Score42/ 100Current Score78/ 100Change↑ 36

Risk increased due to behavioral change

Action TakenRouted to Monitoring

Automated review cycles

Higher risk customers are reviewed quarterly; lower risk customers every two years. Schedules and reminders run themselves.

Risk LevelHigh RiskReview FrequencyEvery 3 monthsNext Review12 Jul 2026
  1. Last Review12 Apr 2026
  2. Upcoming12 Jul 2026
  3. Scheduled12 Oct 2026

See your customer base, scored continuously

We'll model your existing risk framework on a sample population and show how dynamic scoring changes the picture.