Case Study: Amar Bank accelerates digital lending and scales with MongoDB Atlas

Amar Bank disburses $537 million in small loans with MongoDB

Amar Bank, a pioneering digital bank in Indonesia, sought to provide microloans to the unbanked population. Their challenge was to quickly and efficiently assess creditworthiness using a mix of structured and unstructured data for customers lacking traditional credit histories or collateral, all while needing a solution that could scale cost-effectively to support high loan volumes.

By implementing MongoDB Atlas, Amar Bank created a flexible, document-oriented data solution to power its AI-led lending platform. This allowed them to build and deploy a predictive credit model that processes loan applications within 24 hours. The results were significant, with the bank disbursing $537 million in loans to over 575,000 customers in 2022, which helped drive annual revenue from $1.07 million to $48.5 million over seven years. MongoDB provided the scalable infrastructure necessary for this growth and supports the bank's future multi-cloud strategy.

Amar Bank