At AWS re:Invent, MongoDB announced that a new cohort of organizations has joined the MongoDB AI Applications Program (MAAP) ecosystem of leading AI and tech companies.
By lending their experience and expertise to MAAP, Capgemini, Confluent, IBM, QuantumBlack, AI by McKinsey, and Unstructured will offer customers additional integration and solution options, boosting the value customers receive from MAAP.
Since it was launched earlier this year, MAAP has already made an impact, helping customers like CentralReach—which provides AI-powered autism care and intellectual and developmental disabilities (IDD) platform—innovate with AI.
The MAAP Center of Excellence Team, a cross-functional group of AI experts at MongoDB, has collaborated with partners and customers across industries to overcome an array of technical challenges, empowering organizations of all sizes to build and deploy AI applications. The expansion of the MongoDB AI Applications Program follows the introduction of vector quantization to MongoDB Atlas Vector Search (which reduces vector sizes while preserving performance—at a lower cost), as well as new integrations with leading AI and technology companies.
MongoDB is also collaborating with Meta on Llama to support developers in their efforts to build more efficiently and to best serve customers. Currently, both enterprise and public sector customers are leveraging Llama and MongoDB to build innovative, AI-enriched applications, accelerating progress toward business goals. In the coming months, MongoDB plans to implement turnkey mapping from its database to the LlamaStack APIs, empowering developers to deliver solutions to the market more quickly and efficiently.
“At the beginning of 2024, many organizations saw the immense potential of generative AI, but were struggling to take advantage of this new, rapidly evolving technology. And 2025 is sure to bring more change—and further innovation,” said Greg Maxson, Senior Director of AI GTM and Strategic Partnerships at MongoDB. “The aim of MAAP, and of MongoDB’s collaborations with industry leaders like Meta, is to empower customers to use their data to build custom AI applications in a scalable, cost-effective way. By joining the MAAP partner network, Capgemini, Confluent, IBM, QuantumBlack, AI by McKinsey, and Unstructured are helping the program evolve to meet the ever-changing AI landscape, and offering customers an array of leading solutions.”
Also Read: GenAI is a double-edged sword for Defence and Offense in cybersecurityThe expansion of the MongoDB AI Applications Program builds on recent AI-related announcements from MongoDB.
In October, MongoDB announced vector quantization capabilities in MongoDB Atlas Vector Search. By reducing vector storage and memory requirements while preserving performance, these capabilities empower developers to build AI-enriched applications with more scale—and at a lower cost.
About MongoDB
Headquartered in New York, MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. Built by developers, for developers, MongoDB’s developer data platform is a database with an integrated set of related services that allow development teams to address the growing requirements for a wide variety of applications, all in a unified and consistent user experience. MongoDB has more than 50,000 customers in over 100 countries. The MongoDB database platform has been downloaded hundreds of millions of times since 2007, and there have been millions of builders trained through MongoDB University courses. To learn more, visit mongodb.com.
