Namirial Conserves More Than 5 Billion Sensitive Documents With MongoDB

Max Pellegrini, Namirial’s Chief Executive Officer.

The business of gathering, logging, and retrieving documentation can be demanding. Every time a customer submits a document, it must go through a series of steps to add metadata, ensure compliance, and attach a digital signature. Records are then archived, and available to recall when an auditor requests them, or the customer needs to demonstrate compliance.

This is only part of the challenge associated with document management. For example, Namirial has to keep certain data for up to 30 years, different countries have different data residency laws, and the rate at which data is growing is staggering. For example, the company migrated to MongoDB Atlas on Amazon Web Services (AWS) in 2020 and within two years had 1 billion documents stored in its conservation system. This figure rose to 3 billion by 2023. It’s now 5 billion.

“We continue to grow by 50% each year,” explained David Coletto, Chief Technology Officer at Namirial. “The scalability and reliability of the Atlas platform have been really important for us.”

Namirial’s engagement with MongoDB dates back to 2014, and continues to evolve. Originally using an on-premises solution, Namirial used a three-node replica set to ensure high availability, with a primary node and two for redundancy and load balancing. It sharded the environment in 2015 following surging volumes of customer data, and set up a data management system on its private cloud. The move to MongoDB Atlas on AWS was in response to the need of enhancing data masking and encryption to protect sensitive documents. The AWS hardware security module ensures sensitive customer data, including medical records, is encrypted and correctly certified.

Today, MongoDB enables the company to move quickly, but retain control of costs.

“As we grow, cost optimization is essential,” said Coletto. “The beauty of MongoDB is that it autoscales up to accommodate growth, and down again to optimize costs.”

There is a new disruptor likely to accelerate changes to the trust economy: AI. Artificial Intelligence is already present in many Namirial solutions, and in the future it will be increasingly integrated into Namirial’s business. The company has set up an AI lab, challenging its developer teams to find solutions to real-life problems and improve processes.

“As fraud becomes increasingly sophisticated, the methods to combat it must evolve as well. This is why today AI is a crucial component in the arsenal for protecting against fraudsters,” said David Emo, Namirial’s Head of Identity & Onboarding.

It is a journey Namirial will take alongside MongoDB. As Namirial explores uses cases for generative AI, it is leveraging AWS Bedrock and MongoDB Atlas Vector Search. Amazon Titan Embeddings templates make it simple to create and save embeddings for MongoDB Atlas Vector Search. The company currently uses full-text search, but incorporating vector search will help customers to perform more meaningful, context-based searches from an online search engine-like interface.

Front and center to Namirial’s ongoing success will be the ability to preserve the quality of its growing document archive.

“To detect document falsification, various AI models can be employed to identify inconsistencies between the submitted document and the standard model of the document, including aspects such as background, font, and security elements,” Emo added. “These deep learning models are trained on millions of documents and can detect very slight modifications in the documents.”