Banking
AI loan approval & amount recommendation API
Production-ready CatBoost and NLP models that predict loan approvals and recommend suitable amounts in real time.
The challenge
Credit assessments were manual, varied between officers and took time that applicants increasingly were not willing to wait.
What we built
We trained risk models on historical lending outcomes and deployed them as FastAPI services with Swagger documentation, so lending systems can request a decision and a recommended amount instantly.
Highlights
- Approval prediction based on risk analysis
- Recommended loan amounts, not just yes or no
- Real-time decisioning via documented REST API
- Explainable factors for each recommendation
Outcome
Consistent, near-instant credit recommendations that officers can review and act on.
Free assessment
Have a process that’s slow, manual or risky? Let’s engineer a smarter one.
An engineer, not a salesperson, will reply within one business day. The first assessment is free and there is no obligation.