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Fintech · 2025

Kavan Pay AI

Real-time fraud scoring across 12 markets. A hybrid LLM + graph model that cut false positives by 64% in its first quarter.

CLIENT
Cross-border payments
YEAR
2025
SECTOR
Fintech
WHAT WE DID
Fraud / Risk, MLOps, Custom Software
K
Fintech · Fraud & risk
Kavan Pay AI
64%
Fewer false positives
12
Markets covered
<300ms
Real-time scoring
THE CHALLENGE

Cross-border payments across 12 markets meant fraud patterns shifted constantly, and legacy rules flooded analysts with false positives.

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.

THE OUTCOME

False positives fell 64% in the first quarter while catch rates held, and analysts trust the scores.

TECH STACK
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