Case Study: Base39 cuts loan analysis costs by 96% with MongoDB

Base39 cuts loan analysis costs by 96% with MongoDB

Base39, a financial technology provider based in São Paulo, Brazil, faced challenges with complex and highly manual credit analysis processes. Their existing methods, which could take up to 10 days, produced insufficient results due to data scarcity and subjective processes. To disrupt credit analysis with AI, Base39 partnered with MongoDB and used MongoDB Atlas and MongoDB Atlas Vector Search to build a new solution.

The solution implemented by MongoDB involved a platform using MongoDB Atlas on AWS with native vector search capabilities and agentic AI. This modernized the loan assessment process, enabling Base39 to analyze up to 10 loan applications in a minute. As a result, Base39 cut loan analysis costs by 96% and reduced infrastructure expenses by 84%, allowing developers to focus on innovation instead of management.

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