Case Study: Element451 enhances its AI-powered CRM with MongoDB Atlas

Element451 boosts AI CRM performance 10x with MongoDB

Element451, an AI-first CRM and student engagement platform for higher education, faced challenges with its rigid SQL database, which slowed development and limited flexibility. To better serve its institutional customers, Element451 sought a more agile data layer that could support rapid scaling and the integration of advanced AI features, leading them to partner with MongoDB and adopt MongoDB Atlas.

By migrating to MongoDB Atlas and implementing tools like Atlas Search and Atlas Vector Search, MongoDB provided Element451 with a scalable, flexible document database. This solution powered over 100,000 AI conversations, reduced peak CPU usage dramatically, and improved search execution times by 10x. The results included 80% year-over-year growth for Element451, enabling them to roll out 1,200 updates in a year and significantly increasing engagement and reducing call volume for their customer institutions.

Element451