Global fraud models
don't speak
Indonesian.
A real-time fraud scoring system trained on local fraud patterns QRIS payment chains, e-wallet transfers, card number attacks, and the scam scripts that actually circulate here.
A fraud system that doesn't know your market
isn't protecting it.
Most fraud systems flag transactions based on patterns from other countries. They miss local tactics, block legitimate customers, and bury your compliance team in false alerts while the real fraud slips through unnoticed.
False positive rate
Generic models flag five legitimate transactions for every real fraud case wasting analyst time on false alerts.
Local pattern coverage
QRIS payment chains, e-wallet transfers, and local WhatsApp scams are invisible to models built for other markets.
Explainability
Black-box scores with no clear explanation behind them leave compliance teams unable to justify decisions to OJK (Indonesia's financial regulator) or to customers.
Customer friction
One in five falsely blocked Indonesian digital banking customers switches providers within 30 days, taking their balance with them.
Five steps.
Four happen in under 100ms.
Your fraud team stays in control setting risk thresholds, approving updates, handling escalations. The scoring runs automatically on every transaction, in real time, without slowing down your customers.
Every score comes with a reason. Your compliance team can defend every decision.
What your team actually sees.
Live dashboard , risk scores, flagged transactions, and plain-language explanations at a glance.
Less noise.
More caught fraud.
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60% fewer false positives
Your analysts spend time on real threats instead of clearing false alerts. Fewer legitimate customers get blocked.
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Sub-100ms scoring speed
Risk decisions happen before the transaction completes. Your customers don't notice a thing.
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100% explainable decisions
Every score comes with a clear reason. Your compliance team can explain every blocked transaction to OJK (the regulator) or to the customer.
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Days to learn new patterns
When fraud tactics change, the system adapts in days not the months it takes to update a vendor's model.
Show us your false positives.
We'll show you what local scoring catches.
A 30-day pilot using a sample of your past transactions. We score them with our system, compare results to what you have today, and show you exactly where local patterns make the difference before you commit to anything.
Historical scoring assessment
We re-score 30 days of your past transactions and show you the false alerts and missed fraud with no impact to your live systems.