Case Study: EVANA achieves faster, more accurate property document insights with MongoDB Atlas

Evana reaches 95% accuracy with MongoDB Atlas

Evana, a German AI company in the real estate sector, faced challenges with platform instability and slow customer searches due to disconnected data sprawl across multiple legacy SQL databases. This tech sprawl and excessive data replication made it difficult for property investors and managers to extract insights from documents quickly. MongoDB provided the solution with its MongoDB Atlas platform.

By centralizing on MongoDB Atlas, Evana created a single source of truth, which improved platform reliability and speed. The solution enabled them to handle a significantly higher volume of data, increasing from 6,000 to 30,000 documents processed per hour while achieving 95% accuracy across 38 million scanned pages. This modernization by MongoDB streamlined operations, reduced IT overheads, and delivered a faster, more cost-effective experience for both Evana's customers and tech staff.