Real-time fraud detection for a FinTech platform
Manual review of transactions caused delays and missed a significant share of fraudulent activity. We shipped an ML-driven scoring engine at production throughput.
Read case studyIndustry
FinTech
Financial products fail in the boundaries—settlements, limits, and authorization paths. We engineer those edges with the same discipline as customer-facing features.
Key challenges
- Latency-sensitive payment paths with complex reconciliation.
- Model risk and explainability expectations from regulators.
- Third-party integrations that shift liability and scope.
Solutions offered
- Ledger and orchestration services with explicit consistency models.
- Observability that connects customer journeys to money movement.
- Progressive hardening: RBAC, encryption paths, and audit trails by design.
Relevant services
Case studies
Payments orchestration modernization
A processor needed to retire a brittle orchestration layer without freezing roadmap delivery. We rebuilt routing, idempotency, and reconciliation as explicit services.
Read case studyCompliance considerations
Programs typically align to PCI-minded architectures, SOX-ready change controls, and regional open-banking constraints—mapped to your counsel’s interpretation, not generic checklists.