Case Study: One AI scales language-based AI for over 150 million documents with MongoDB Atlas

One AI scales language-based AI to over 150 million documents with MongoDB

The customer, One AI, is an innovative startup specializing in AI-as-a-service with the goal of democratizing artificial intelligence. Their challenge was to manage the complex database requirements at the core of their platform, which processes over 150 million documents from numerous services, without diverting focus from their primary development goals. They needed a flexible and fully managed solution to handle diverse data structures and constant changes.

The vendor, MongoDB, provided its Atlas platform as the solution. This allowed One AI to build its entire service on a flexible document model, accelerating development and circumventing typical infrastructure pitfalls. The results included robust performance, platform stability, and the ability to process over a billion tokens. By using MongoDB Atlas, One AI efficiently brought its language-based AI to market in two years and can now explore new capabilities like Vector Search to enhance its offerings.

One AI