The challenge
A fintech platform was losing revenue to fraud. Their rule-based system had a 25% false positive rate — blocking legitimate customers and creating support overhead.
Our solution
We developed an ML model trained on transaction patterns that detects fraud in real-time with 97% accuracy and under 2% false positives.
Technologies used
Node.jsReactPostgreSQLGroq AIExpressReal-time scoring
Result achieved
$2M+
In prevented fraud (annual)
Live Demo30 minutes. No pitch. No hype. We show you exactly which processes are burning money — and what it would take to eliminate them.
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