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fintech

Fintech Startup: Real-Time Fraud Detection System

Built an ML-powered fraud detection system analyzing transactions in under 100ms with 99.9% accuracy, reducing fraud losses by 75%.

Duration
8 months
Team Size
10 engineers
Investment
$500K - $1M
Location
San Francisco, USA

The Challenge

A payment processor handling $10B annually was experiencing 0.5% fraud rate, resulting in $50M in annual losses.

Our Solution

We developed a multi-layer fraud detection with real-time feature engineering, ensemble ML models, graph analysis for organized fraud rings, and explainable AI for regulatory compliance.

Key Features Delivered

Real-time fraud detection
ML-powered
Graph analysis
Explainable AI

Results & Impact

75%

Reduction in Fraud Losses

99.9%

Detection Accuracy

<100ms

Decision Latency

0.01%

False Positive Rate

DevSimplex delivered a fraud detection system that outperforms our previous vendor at a fraction of the cost.

Lisa Park
Chief Risk Officer
Payments Fintech

Technologies Used

XGBoostPyTorchApache FlinkRedisNeo4jKubernetes

Services Provided

FintechAi AutomationCybersecurity

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