No-code Recommendation engines builder for banks

A drag-and-drop builder that lets banks launch their own recommendation engines solutions without writing a single line of code.

Target audience

Banks

Problem solved

Banks often overpay for recommendation engines because pricing is opaque and alternatives are hard to compare.

Solution

Build an MVP with Vector databases and scikit-learn, validate with 20 pilot users, then expand features based on real feedback.

Technologies

Vector databases, scikit-learn, Hugging Face

Monetization

SaaS subscriptions; Enterprise licenses

Challenges

High GPU and API costs; Model hallucinations

Improvements

Build an analytics dashboard so users can measure their ROI clearly.; Introduce tiered pricing with a free starter plan to lower adoption friction.