Challenge
The problem
Legacy scoring batch jobs delayed lending decisions and lacked explainability for compliance teams.
Approach
Our solution
We delivered a realtime ML risk API with feature store, explainability dashboards, and secure partner integrations.
Impact
Results that matter
Metrics captured post-launch — demonstrating tangible business value.
- Decision speed
- 3×
- False positives down
- 28%
- API latency p95
- <120ms
Engineering
Technology stack
Tools and platforms chosen for performance, security, and maintainability.
- FastAPI
- PyTorch
- Redis
- Kubernetes
- Azure
Delivery timeline
18 weeks
From discovery through deployment — structured sprints, stakeholder reviews, and production-grade quality gates at every phase.
ARAVEL
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