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PaySe

PaySe is a platform that proposes a way to implement AA framework using Setu API & Leverage AI/ML models to prevent consent frauds alongside providing credit to the unbanked using Alternate Data.

The problem PaySe solves

Almost 90 percent of small businesses in India still have no links with formal financial institutions.
Primary reasons are :

For borrowers -
The current lending process is quite tedious for a small business owner with intensive manual under-writing.
This leads to higher turnaround times to even get to an answer whether the customer is eligible or not.
Unbanked users find it very difficult to apply for loan since there is no check for creditworthiness.

For lenders -
Banks continue to lose customers to bigger competitors banks, newer banks & now fin-tech companies.
Unable to get accurate creditworthiness of unbanked users because of lack of data

Challenges we ran into

Find the alternate dataset and creating it with the correct target column for the supervised learning model was a little tough but we overcame those hurdles
We faced issues initially while integrating Setu AA API, but by following the docs we were able to do it

Discussion