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Data and Analytics · DeepTech · Finance · Software


11-50 employees



founded in


zypl.ai applies 'no data' AI at scale to advance financial inclusion in emerging and frontier markets. Our SaaS solution enables banks and microfinance organizations to instantly and accurate underwrite loans, both offline and digitally, to consumers with limited or no credit history. zypl's proprietary approach includes training AI models on synthetically generated data with simulation of 'black swan' conditions, providing stable and adaptable SaaS in spite of macro volatility in developing markets. Apart from analyzing traditional variables such as social, demographic, and professional background of clients, our SaaS reviews device metadata, psychometrics, web trace, and macroeconomic factors to arrive at credit decisions. In the process, we fully customize AI models to risk appetite of each individual enterprise partner with the goal of reflecting their competitive market advantages. Additionally, we offer complete flexibility on mode of integration through either cloud or on-premise deployment based on enterprise preference. We only deploy explainable AI models with embedded 'weight-of-evidence' interpretation of each decision made by the software, complying with emerging regulatory requirements on credit scoring. Having launched our beta last year, we have scaled presence to 10 enterprise clients in 4 markets across Central Asia. In this time, we have underwritten >$9 million in consumer and small business (services, trade, agriculture) loans to over 12 thousand consumers with staggeringly low 0.7% portfolio-at-risk rate. Since booking first revenue earlier this year, we have surpassed 25% compounded monthly growth rate and reached financial break-even this month. As a complement to credit scoring, our product team has ventured into churn prediction in telecom sector through partnerships with 3 leading telcos in Central Asia. Our rapid product iteration and development is a result of an AI Academy that we have launched to nurture talent internally. zypl.ai was ideated at Stanford University's Startup Garage and recently completed the Silkway Accelerator by Google for Startups and Astana Hub. Our startup was launched with a grant from the Islamic Development Bank as part of the Transform Fund. With our pre-seed capital raise, we plan on globalizing our AI SaaS solution by expanding to new markets in MENA, Southeast Asia, and Eastern Europe.

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