Case Study: LexisNexis Risk Solutions builds a time-aware AI platform with MongoDB Atlas

LexisNexis Risk Solutions builds a time-aware AI platform with MongoDB Atlas in 5 months

LexisNexis Risk Solutions, a data analytics provider for the insurance industry, faced a challenge with standard AI search. Its clients required absolute accuracy in fast-moving financial markets, but typical RAG architectures could not understand how data relationships and facts change over time, leading to unreliable results. To overcome this, they worked with MongoDB to build a new platform on MongoDB Atlas.

The solution implemented by MongoDB involved using its flexible document model to create a unified, time-aware data store. By structuring their entire knowledge graph as native MongoDB collections, LexisNexis created a single source of truth that eradicated the need to synchronize multiple databases. This MongoDB-powered platform delivered highly accurate, chronologically correct answers, giving clients absolute decision-making confidence in high-stakes environments.

LexisNexis Risk Solutions