Case Study: Stax.ai boosts retirement plan efficiency with MongoDB Atlas

X.ai reduces document processing from days to hours with MongoDB

X.ai, a software provider for the retirement industry, faced challenges managing fragmented, unstructured data from sources like brokerage statements and payroll files. Manual processes led to inefficiencies and errors, and existing tools could not scale to handle the complexity of thousands of retirement plans. To address this, they partnered with MongoDB to implement a solution using MongoDB Atlas on Google Cloud.

MongoDB provided a schemaless architecture on Atlas that easily managed diverse datasets and enabled high-performance processing. This solution transformed cumbersome processes into automated workflows, significantly reducing data processing times from days to hours and scaling to handle tens of thousands of documents daily. With MongoDB, X.ai improved overall efficiency and allowed administrators to focus more on serving clients rather than manual tasks.

X.ai