Emergent expands MongoDB partnership for enterprise AI apps

Emergent has expanded its partnership with MongoDB, allowing Pro and Enterprise customers to connect existing MongoDB Atlas organisations to the AI software creation platform.

The integration lets customers build and run applications created by Emergent within infrastructure they already own and manage. Its agents provision and manage the required database resources behind the scenes.

MongoDB Atlas has been the default database for every application built on Emergent since the platform launched. This latest step extends that relationship into enterprise environments, where companies want AI-built applications to sit داخل existing systems rather than in separate managed setups.

Customers can authenticate through MongoDB and grant access to their organisation without managing API keys. Once connected, the platform can manage the projects and clusters needed to run applications inside a chosen MongoDB Atlas organisation.

The arrangement applies to Pro and Enterprise users. For smaller customers and founders using the standard managed setup, the experience remains unchanged: MongoDB Atlas continues as the default database without additional configuration.

Enterprise focus

The announcement marks a push by Emergent beyond app creation and into production deployment for larger organisations. More than 12 million applications have been built on the platform, according to the company.

Emergent was designed for users who may not have conventional software engineering skills. They describe an application in natural language, and the platform's AI agents build and modify it.

That workflow creates particular demands on the database layer because application requirements can shift during the build process. Data models often need to change as users refine prompts and alter features during development.

According to both companies, MongoDB's document model has been central to that process. Emergent said the structure allows its agents to adapt the data model without the migrations required in a fixed-schema system.

"Our users come in, describe an app, and our agents build it. But what they ask for often changes mid-build," said Mukund Jha, Founder and Chief Executive Officer of Emergent.

"The schema evolves the same way the conversation does. We believe MongoDB is the best database for agentic coding. Nothing else we tested kept up with how our users build," Jha said.

Wider partnership

The relationship now extends across product development, go-to-market work, and AI-native application infrastructure. The latest integration reflects a broader effort to support organisations that want to move AI-generated software into established production environments.

For MongoDB, the partnership gives it a role in a growing category of software tools that use AI agents to generate and revise applications from text prompts. For Emergent, it addresses a practical issue for larger customers that already run production workloads on MongoDB Atlas and want new applications to sit alongside them.

Pablo Stern, Chief Product Officer, AI and Emerging Products at MongoDB, said application development is changing as prompt-based creation becomes more common.

"Applications increasingly start as a prompt, and Emergent is one of the clearest examples of what that looks like at scale," Stern said.

"Their agents have been building on MongoDB from day one. Now teams that already run MongoDB Atlas can use Emergent directly, so the data layer they trust follows them from the first prompt through production," he said.

The integration is now available to Emergent Pro and Enterprise customers. More than 12 million applications have been built on the platform, according to Emergent.