Risk scoring
A score for each transaction, account or event, with thresholds set against what fraud and friction each cost you.
What's included
Detection you can tune and explain
Real-time scoring API
Decisions fast enough to sit inside checkout, sign-up or payouts.
Explainable flags
Reason codes, so reviewers can see why something was flagged and decide quickly.
Drift monitoring
Alerts when behaviour shifts, and a way to retrain when new fraud patterns show up.
Overview
Catch the bad events without blocking good customers
Fraud is rare, it keeps changing, and mistakes cost you either way. Miss it and you lose money. Block too much and you lose customers. The data is heavily lopsided too, so it isn't an ordinary prediction problem.
We build systems that score events in real time, mixing rules and machine learning where each works best, and show analysts the reason behind every flag. Thresholds follow your own appetite for risk, and we watch for drift as fraud patterns shift.
Tools & platforms we use
- Python
- XGBoost
- Isolation Forest
- Kafka
- Redis
- PostgreSQL
Questions
Common questions about fraud detection
4 questions
Do we need labelled fraud examples?
Labels help a lot, but you can start without many. Rules and anomaly detection can run first while labels build up from your reviewers' decisions.
How do you keep false positives down?
We set thresholds against your real costs, combine several signals instead of one, and send borderline cases to review instead of blocking them.
Can it run in real time?
Yes. Scoring usually comes back in milliseconds, so it fits inside a checkout or login.
Will it replace our fraud team?
No, it makes them quicker. Clear cases are handled automatically and the unclear ones go to people with the context to decide.
Quick question?
Ask us about Fraud & Anomaly Detection
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Ready to get started?
Tell us where you're losing money.
Tell us what you're seeing and what data you collect. We'll outline an approach and give you a fixed estimate.
We'll redo the first milestone at no cost if it doesn't match the brief.
NDA signed before we see anything. Delivered under your brand.