AuraPay AI – Autonomous Global Neo-Banking & Fraud Defense
The Challenge
AuraPay required a secure, institutional-grade neo-banking engine to orchestrate cross-border payments across 40+ countries. The fundamental hurdle was detecting algorithmic fraud micro-patterns in real time under 50ms without generating false-positive declines for high-net-worth international clients.
Our Engineering Solution
Zoftarix engineered an event-driven microservices architecture using Next.js for institutional web portals and Python FastAPI with Apache Kafka for the high-throughput transaction ledger. We deployed custom ensemble ML models on AWS SageMaker delivering sub-30ms fraud scoring, backed by multi-region PostgreSQL clusters and bank-grade PCI-DSS compliance.
The Measurable Outcome
Processed $120M+ monthly transactions with sub-30ms latency & 99.99% uptime
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Project Details
Client
AuraPay International (UAE, UK & USA)
Timeline
5 Months
Role
Enterprise Full-Stack & AI Architecture
Tech Stack