We apply proprietary generative AI to build macro-resilient credit scoring models.
Our mission is to redefine credit scoring by applying synthetic data to enrich historical train sets.
zypl.ai was ideated at Stanford’s Startup Garage and successfully completed acceleration by Google for Startups. Incorporated in the US, zypl is based out of Dubai, UAE.
>25 financial institutions across 8 markets globally have deployed our credit decisioning software to underwrite both retail and SME loans.
Software-as-a-Service: zypl.score
zypl's proprietary SaaS enables financial institutions to instantly and accurate underwrite loans, both offline and digitally, to consumers with limited or no credit history.
Our proprietary method deploys AI models trained on synthetic data with simulation of 'black swan' conditions. Our algorithms have been trained on a real dataset of >5 million loans globally.
>$50 million
portfolio of microloans disbursed by zypl.ai across Asian markets
<1%
non-performing loan rate in disbursed portfolio (including vintage analysis)
25
enterprise clients (banks, fintechs, microfinance) in 8 markets
