- $1M+ loans processed
- 10,000+ users
- M-Pesa in production
Stack & capabilities
Credit scoring workflows · Real-time loan processing · Mobile money integration
- Angular
- Node.js
- Flutter
- Firebase
- M-Pesa API
- Machine Learning
- Challenge
- SME lenders in Kenya needed faster credit decisions and reliable disbursement without bolting together spreadsheets, a separate borrower app, and a fragile M-Pesa handoff.
- Approach
- We built a full lending stack with the operators in the room: credit scoring workflows, real-time decisioning, borrower mobile + admin portal, and production M-Pesa payouts — scoped for local payment realities and auditability.
- Outcome
- The platform has processed $1M+ in loans with 10,000+ registered borrowers and admins, and live M-Pesa disbursement in production.