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NeoBank CorpFinTech

Real-time Fraud Detection System

$2.4M
Fraud Prevented/Year
180ms
Avg Analysis Time
99.6%
Detection Rate

The Challenge

NeoBank was facing increasing fraud attempts that manual review couldn't catch. They needed an automated system to flag suspicious transactions without adding friction to legitimate payments.

Our Solution

We built a custom predictive engine using Python and TensorFlow, integrated via gRPC for high performance. The system analyzes 50+ data points per transaction in under 200ms.

  • Scalable architecture design
  • Performance optimization & caching

Want us to do this for you?

Stop losing customers to slow legacy tech.

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Tech Stack

PythonTensorFlowNode.jsKafkaPostgreSQL

Services

  • Custom Development
  • System Architecture
  • UI/UX Design
  • Cloud Infrastructure