Case Study: Kiwi AI cuts human API work with MongoDB

Kiwi AI cuts human API work and speeds AI workflows with MongoDB

Kiwi AI builds digital twins for teams, aiming to eliminate operational drag caused by manual data reconciliation across disparate systems. The company faced the challenge of handling messy, unstructured real-world data while needing to move quickly and scale. To power its platform, Kiwi AI selected MongoDB as its backbone database, utilizing MongoDB Atlas and Atlas Search.

The solution using MongoDB provided a flexible document model to store diverse data types side-by-side and enabled real-time reactivity via change streams. This allowed Kiwi AI to create an enterprise context graph for its AI agents. The results included achieving startup agility with production reliability, dynamic routing without schema bottlenecks, and accelerated development from prototype to production, allowing the company to shift its focus from infrastructure to innovation.