MongoDB expands AI programme with six new partners

MongoDB has announced an expansion of its AI Applications Program, integrating six new organisations into its ecosystem.

The new additions to the MongoDB AI Applications Program (MAAP) are Capgemini, Confluent, IBM, QuantumBlack, AI by McKinsey, and Unstructured. These companies join the programme to provide customers with enhanced integration and solution options. By sharing their expertise, these organisations aim to increase the value for MAAP clients.

Since its inception, MAAP has supported customers, including CentralReach, in deploying AI innovations. CentralReach, known for its platform for those with autism and intellectual and developmental disabilities, has utilised MAAP to advance its AI capabilities. MongoDB's MAAP Centre of Excellence Team collaborates with partners and customers across multiple industries to solve various technical obstacles.

Vector quantisation has recently been introduced to MongoDB Atlas Vector Search, which reduces vector sizes while maintaining performance, thus lowering costs. Additionally, MongoDB's collaboration with Meta on Llama aims to support developers in building efficient and customer-serving AI applications.

Greg Maxson, Senior Director of AI GTM and Strategic Partnerships at MongoDB, remarked, "At the beginning of 2024, many organisations 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. 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 programme evolve to meet the ever-changing AI landscape, and offering customers an array of leading solutions."

Capgemini, a consulting and technology services company, is set to contribute its expertise in digital transformation to the MAAP. Niraj Parihar, CEO of Insights & Data Global Business Line at Capgemini, expressed, "Business leaders are increasingly recognising generative AI's value as an accelerator for driving innovation and revenue growth. But the real opportunity lies in moving from ambition to action at scale. We are pleased to continue working with MongoDB to help deliver tangible value to clients and drive competitive advantage by leveraging a trustworthy data foundation, thereby enabling gen AI at scale. MAAP helps clients build gen AI strategy, identify key use cases, and bring solutions to life, and we look forward to being a key part of this for many organisations."

Confluent offers a cloud-native data streaming platform. Shaun Clowes, Chief Product Officer at Confluent, noted, "Enterprise AI strategy is inextricably dependent upon fresh, trusted data about the business. Without real-time datasets, even the most advanced AI solutions will fail to deliver value. Seamlessly integrated with MongoDB and Atlas Vector Search, Confluent's fully managed data streaming platform enables businesses to build the trusted, always-up-to-date data foundation essential for powering gen AI applications."

Unstructured, recognised for its ETL solutions for large language models, looks to enhance use of unstructured data within gen AI systems. Brian Raymond, Founder and CEO of Unstructured, stated, "Like MongoDB, we understand that data is essential to harnessing the power of gen AI. We are excited to join the MongoDB AI Applications Program to bring our expertise in ingesting and preprocessing complex unstructured data for vector databases. The gen AI-ready data we continuously deliver and write to vector databases like MongoDB is essential to enabling our users to counter hallucinations, allowing the LLMs and AI projects that MAAP customers are working on to leverage sensitive, internal data while keeping models and projects up-to-date."

MAAP's focus on customer support through technical subject matter experts has been highlighted by its interaction with over 150 organisations. Example projects include predictive maintenance technologies and customer service automations. Additionally, IndiaDataHub's collaboration with MongoDB has been a success story in aiming to provide comprehensive market data and analysis within India.

Pranoti Deshmukh, Chief Technology Officer at IndiaDataHub, commented on this cooperation, "Data is the oil that will fuel the growth of the modern Indian economy. Working with MongoDB, the MAAP ecosystem, and Meta's AI tools, we've been able to accelerate our AI strategy to make high-quality, timely data and analytics available to everyone in India who needs it. The professional support and deep AI expertise we've received through the MAAP program have been outstanding."

Meta has expressed enthusiasm for MongoDB's use of open-source AI models. Ragavan Srinivasan, VP of Product at Meta, said, "We are thrilled to see how many enterprises are leveraging our open source AI models to build better solutions for their customers and solve the problems their teams are facing every day. Leveraging our family of Meta models and the end-to-end technology stack offered by the MongoDB AI Applications Program demonstrates the incredible power of open source to drive innovation and collaboration across the industry."

CentralReach has recognised the program's benefits, with Chris Sullens, CEO of CentralReach, stating, "As a mission-driven organisation, CentralReach is always looking to innovate on behalf of the clinical professionals—and the more than 350,000 autism and IDD learners—that we serve globally. So being able to lean on MongoDB's database technology and draw on the collective expertise of the MAAP partner network—in addition to MongoDB's tech expertise and services—to help us improve outcomes for our customers and their clients worldwide has been invaluable."

The recent vector quantisation capabilities in MongoDB Atlas Vector Search introduced in October are aimed at enhancing AI application development. MongoDB's partnerships with over 40 AI companies further expand its resource provision, contributing to the advancement of AI solutions in various industries.