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CoreXAlpha
Finance

Financial Risk Analytics Platform

Real-time credit risk scoring and fraud detection powered by machine learning.

Client
Nova Finans
Sector
Finance
Duration
6 months
Year
2025
2 days → 4 s
Decision time
−67%
Fraud losses
94.2%
Model accuracy

Starting point

Credit applications were assessed manually, taking up to two days per decision. Fraud was only detected after transactions had already settled.

Our approach

  1. 1Consolidated eight years of application data into one warehouse with quality tests.
  2. 2Built a gradient-boosting scoring model together with an explainability layer.
  3. 3Implemented a real-time event streaming pipeline with anomaly detection.
  4. 4Added a loop that monitors model drift and triggers automatic retraining.

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Let’s build the future together

Whatever your idea, we have the technology and the team to make it real. Let’s start with a free one-hour discovery call.