A high-growth FinTech startup scaling to enterprise level, handling millions of transactions daily across multiple currencies.
Financial Services & Banking Technology. Focused on secure, real-time peer-to-peer payments and merchant settlements.
Processing over 5M+ monthly transactions with a user base growing at 15% month-over-month.
The client was relying on static rules that couldn't adapt to evolving fraud patterns. As transaction volumes spiked, their manual operations team became a major bottleneck, leading to poor user experience and increased operational costs.
A scalable, real-time fraud detection pipeline powered by advanced Machine Learning.
AI is only as good as the data it learns from. We implemented a robust data strategy to ensure high-fidelity model training.
Consolidated data from transaction logs, device fingerprints, and user behavior history.
Automated pipelines to handle missing values and normalize data formats on the fly.
Models are retrained weekly on fresh confirmed fraud data to detect new attack vectors.
We prioritized responsible AI practices to ensure trust and compliance.
Fraud cases were rare (<1%). We used SMOTE and synthetic data generation to balance training sets.
Optimized inference engines using ONNX runtime to achieve sub-200ms decisioning.
The AI solution delivered by Bwareta transformed our risk operations. We scaled 5x without adding headcount, and our fraud losses dropped to historical lows.
