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NoSQL database provider MongoDB has unveiled a program to help companies accelerate the building and deployment of AI-powered applications. The MongoDB AI Applications Program, or MAAP, promises everything organizations need to get started, from strategic advisory and professional services to an end-to-end technology stack. It brings consultancies and providers of foundation models, cloud infrastructure, generative AI frameworks and model hosting together with MongoDB Atlas to develop solutions for business problems. And though announced today, MAAP won’t be available until July.
“We’ve seen tremendous enthusiasm for generative AI among our customers, from agile startups to established global enterprises, Alan Chhabra, MongoDB’s executive vice president of worldwide partners, said in a statement. “However, some are still navigating how best to integrate generative AI to solve the right business problems. That’s where the MongoDB AI Applications Program comes in.”
MAAP is addressing a problem many executives have regarding AI. It’s believed that approximately a quarter of business leaders feel they’re equipped to use the technology. “Many businesses share that they’re facing challenges even getting started due to the rapidly evolving technology landscape, a lack of in-house AI development expertise, and the perceived risk of integrating all these fragmented vendor solutions,” Greg Maxson, MongoDB’s senior director of AI go-to-market and strategic partnerships, explained.
What’s included with MAAP
MAAP has four parts, starting with Atlas, a packaged suite of databases and data services supporting multiple clouds. Developers can access pre-configured and optimized MongoDB products, features and services. The offering also includes a curated selection of partners who can assist in evaluating a company’s existing technology stack and identifying business problems to tackle. These consultancy partners will then develop strategic roadmaps for companies to review, ultimately detailing the required architecture and producing the needed application.
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To assure enterprise companies that their AI apps are secure, reliable and trustworthy, MongoDB’s MAAP features top-of-market foundation models. Developers can choose from Anthropic, Cohere, Meta, Mistral, OpenAI and more for their framework models, along with Anyscale, Fireworks.ai, Together AI, Credal.ai, LangChain and LlamaIndex for AI security. Lastly, MAAP leverages MongoDB’s relationship with major cloud providers such as Amazon Web Services, Microsoft Azure, and Google Cloud.
The final piece allows organizations to enlist the help of professionals in prototyping their apps in a secure and private sandbox environment. These expert-led sessions will focus on identifying an internal business challenge and how AI can be used to solve it. Among those partners are generative AI-specialized consultancies PeerIslands, Pureinsights, and gravity9.
“Our deep investments and partnerships allow this comprehensive partner ecosystem to exist,” Maxson declared. “Through our strategic partnerships with these industry leaders, access to specialized gen AI consultancies and personalized professional services to facilitate app development, MAAP simplifies common first mile challenges and streamlines the development process.”
AI app development in a box
MongoDB is not alone in pushing AI app development platforms at the enterprise. Organizations in this space take a more calculated approach to using technology versus consumers and want as much information as possible ahead of time before making a decision. However, while the likes of Cohere and Microsoft have released their own toolkits, MongoDB believes it holds a competitive advantage.
“We think of [the AI stack] as having three layers,” Scott Sanchez, MongoDB’s vice president of product marketing and strategy, shared during a press briefing. “At the bottom, you have the infrastructure—the GPUs and the models themselves with lots of attention and investment happening here right now. At the top, you have the new AI-powered applications that customers are building or want to build. And in the middle, where the data lives, is where MongoDB plays. That data is really what we think is the difference maker. Either you build a generic chatbot that knows very little about your business or your customers, or…you can connect your real-time data in a meaningful way and have a truly game-changing AI-powered application that transforms your business.”
He equates it to bookends, with GPUs and models on one side and apps on the other. “Just buying and investing in bookends without any books is pretty pointless. And that’s the data in the middle That’s why MongoDB is so critically important as companies try to make these AI investments and change their business with AI.”
Another useful benefit for enterprises is MongoDB’s third-party resources with MAAP. These providers can offer peace of mind to organizations unsure whether they’re building a useful app that can generate real business results.
Though he didn’t have specific metrics around the average time saved in app development from MAAP, Maxson claimed some customers saw gen AI app build and deploy timelines shortened to around six weeks “which, from their feedback, was a significant improvement from previous experiences.”
MongoDB’s MAAP will be available to customers starting in July. The company said it will have a pricing model similar to its current go-to-market model, which supports a “go fast alone or go further together model.”
