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Trusted by founders & operations teamsSaaSE-CommerceFintechProfessional ServicesLogisticsStartupsTrusted by founders & operations teamsSaaSE-CommerceFintechProfessional ServicesLogisticsStartups
Trusted by founders & operations teamsSaaSE-CommerceFintechProfessional ServicesLogisticsStartupsTrusted by founders & operations teamsSaaSE-CommerceFintechProfessional ServicesLogisticsStartups
  • Client : FraudGuard
  • Industry : Fintech
  • Services : AI Apps & Integration, Custom Software Development
  • Year : 2024
  • Duration : 6 months
Real-Time Fraud Detection System

Project overview

A payments provider needed to catch fraudulent transactions without slowing down legitimate ones. We built a real-time scoring service that sits inside the payment flow.

Client challenges & requirements

Rule-based checks were blocking too many good customers while still missing coordinated fraud, and every added rule slowed the checkout.

  • Decisions needed in under 100 milliseconds per transaction
  • High false-positive rate was costing genuine sales
  • Fraud patterns changed faster than rules could be updated

Our solution

We delivered a streaming feature pipeline, an ensemble fraud model with explainable outputs, and a review console for the risk team. Models are retrained on confirmed cases every week.

83%

Fraud caught before settlement

45%

Fewer false positives

80ms

Decision latency

1.2M

Transactions scored daily