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SI project · Fintech · 2025

Kavan Pay AI

Real-time fraud scoring across markets. A hybrid LLM + graph model that cuts false positives and explains every decision.

Category
SI project
Client
Cross-border payments
Year
2025
Sector
Fintech
What we did
Fraud / Risk, MLOps, Custom Software

Kavan Pay AI

The challenge.

Cross-border payments across many markets meant fraud patterns shifted constantly, and legacy rules flooded analysts with false positives.

Kavan Pay AI

Our approach.

A hybrid model pairs an LLM reasoning layer with a graph model over transaction networks, scoring risk in real time and explaining every decision for compliance.

Kavan Pay AI

The outcome.

False positives fell while catch rates held, and analysts trust the scores.

Built with

Tech stack.

Tech stack

  • Claude Sonnet 4.6
  • Neo4j
  • Python
  • Feast
  • Kubernetes

What we did

  • Fraud / Risk
  • MLOps
  • Custom Software

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