Case Study: ani.tech accelerates AI workflows with MongoDB Atlas

Ani.tech cuts a 26-hour workflow to 10 minutes with MongoDB

ani.tech, an AI-first fintech company, faced rigid database bottlenecks with its legacy MySQL system. This rigidity slowed its pivot from a SaaS platform to agentic AI, choking momentum with time-consuming schema migrations and sluggish deployment cycles that were unsuited for dynamic AI agents.

To build an AI-native infrastructure, ani.tech deployed MongoDB Atlas on Azure as its flexible operational data layer. This solution compressed a 26-hour financial workflow to just 10 minutes, achieving a 75% reduction in manual processing. The implementation with MongoDB Atlas accelerated deployments to an hourly basis and is driving a fivefold increase in company revenue.

Ani.tech