zypl.ai mission is to deploy AI software that generates net good for individuals and enterprises.
zypl.ai was ideated at Stanford University's Startup Garage and recently completed the Silkway Accelerator by Google for Startups and Astana Hub (1st place among 330 startups). Initially, zypl.ai was launched with a grant from the Islamic Development Bank.
zypl.ai is now present in 6 markets across Central Asia, MENA and the Caucasus and scaling its SaaS product globally.
zypl's proprietary SaaS enables banks and microfinance organizations to instantly and accurate underwrite loans, both offline and digitally, to consumers with limited or no credit history.
zypl.ai’s leading product is zypl.score. The proprietary method deploys AI models trained on synthetic data with simulation of 'black swan' conditions. and its algorithms have been trained on a dataset of >5 million microloans. zypl.score issued $ 20 million portfolio at <1% PAR30 so far.
The startup raised $1.7M pre-seed at a $ 10M valuation from global VC funds, including Aloqa Ventures.