NoSQL database provider MongoDB has launched the MongoDB AI Applications Program (MAAP) to help companies accelerate the development and deployment of AI-powered applications. MAAP offers a comprehensive suite of resources, including strategic advisory services, professional support, and an end-to-end technology stack. By collaborating with consultancies and providers of foundational models, cloud infrastructure, and generative AI frameworks, MAAP integrates with MongoDB Atlas to craft tailored solutions for business challenges. Although announced recently, MAAP is set to be available in July.
“We’ve seen tremendous enthusiasm for generative AI among our customers, ranging from agile startups to established global enterprises,” stated Alan Chhabra, MongoDB’s Executive Vice President of Worldwide Partners. “However, many companies are still determining how to effectively leverage generative AI to solve their key business problems. That's where MAAP comes into play.”
Many executives face challenges regarding AI adoption, with approximately 25% feeling equipped to use this technology. According to Greg Maxson, MongoDB’s Senior Director of AI Go-To-Market and Strategic Partnerships, businesses encounter hurdles such as the rapidly evolving technology landscape, a lack of in-house AI expertise, and the challenges posed by fragmented vendor solutions.
What’s Included with MAAP
MAAP consists of four essential components. First is MongoDB Atlas, a suite of databases and data services supporting multiple cloud environments. Developers gain access to pre-configured and optimized MongoDB products, features, and services. Additionally, MAAP includes a curated selection of partners who can evaluate existing technology stacks and identify relevant business issues. These consultancies will create strategic roadmaps outlining the necessary architecture and applications.
To ensure the security and reliability of AI applications for enterprise companies, MAAP features top-tier foundational models from providers such as Anthropic, Cohere, Meta, Mistral, and OpenAI. Developers can also access AI security solutions from Anyscale, Fireworks.ai, Together AI, Credal.ai, LangChain, and LlamaIndex. Furthermore, MAAP benefits from MongoDB's collaborations with leading cloud providers like Amazon Web Services, Microsoft Azure, and Google Cloud.
The final component involves professional assistance in prototyping applications within a secure sandbox environment. Expert-led sessions will focus on addressing internal business challenges through AI applications, with notable partners including consultancies like PeerIslands, Pureinsights, and gravity9.
“Our strategic partnerships create a robust ecosystem of resources,” Maxson emphasized. “Through these collaborations, access to specialized generative AI consultancies, and personalized professional services, MAAP simplifies initial challenges and streamlines the development process.”
AI App Development Simplified
MongoDB is not alone in promoting AI application development platforms for enterprises. Companies in this space adopt a strategic approach to technology, seeking comprehensive information before decision-making. While competitors like Cohere and Microsoft offer their tools, MongoDB asserts its competitive edge.
“We envision the AI stack as a three-layer framework,” shared Scott Sanchez, MongoDB’s Vice President of Product Marketing and Strategy, in a press briefing. “At the base, we have the infrastructure—the GPUs and models receiving significant investment. The top layer consists of the AI-powered applications our customers are eager to develop. MongoDB occupies the middle layer, where data resides. This data is crucial: it enables businesses to create meaningful AI applications rather than generic solutions that lack business context.”
Sanchez likens this structure to bookends—GPUs and models on one side, applications on the other—and emphasizes the importance of data in the middle. “Investing in bookends without books is futile, and the data is what drives meaningful AI transformation for companies.”
Additionally, MAAP provides access to third-party resources that can reassure enterprises about the value of their application development efforts.
While specific metrics on time savings were not available, Maxson reported that some customers have experienced generative AI app development timelines reduced to approximately six weeks, a marked improvement from past efforts.
MongoDB’s MAAP will be accessible to customers starting in July, with a pricing model similar to its existing model, supporting a "go fast alone or go further together" approach.
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