Case Study: Avila reduces grant search and application times by 90% with MongoDB

Avila reduces grant search and application times by 90% with MongoDB

Avila, a startup focused on streamlining the grant discovery process, faced the challenge of parsing hundreds of thousands of unstructured documents from various sources to build a structured, navigable dataset. Their goal was to help schools, governments, and nonprofits find and apply for funding faster. To reimagine this cumbersome process, they turned to vendor MongoDB and its MongoDB Atlas platform.

Using MongoDB Atlas, including Atlas Search for keyword queries and Atlas Vector Search for semantic understanding, Avila built an AI-powered platform for grant discovery and application. The solution from MongoDB resulted in a 90% reduction in grant search and application time, indexed 100,000 grant opportunities, and enabled 10x faster platform development.

Avila