Rippling Boosts Growth and AI Use with MongoDB

THE CHALLENGE

Expanding a robust portfolio with AI

Since emerging from Y Combinator in 2017, payroll startup Rippling has developed an ever-growing menu of services across HR, IT, and finance. Since early 2025, it has been prioritizing AI to expand its portfolio of offerings. “We embrace the latest and greatest of AI tools every day in our workflow,” said Ankur Bhatt, former Head of AI at Rippling, on the Newcomer podcast with Eric Newcomer at MongoDB.local San Francisco.

The company recently launched Rippling AI, a tool that uses live data and permissions to help customers accurately answer questions across their entire workforce. To support this and other products, the company needed a resilient, scalable database solution.

OUR SOLUTION

Using MongoDB Atlas to build an AI-ready foundation for Rippling

Rippling has used MongoDB since its founding. A common data store on MongoDB Atlas is the core of a key Rippling feature: the employee graph, which captures pay, benefits, IT, and expense information in a single view.

“Having a partnership with MongoDB from day one allowed us to build the employee graph and to build a capability set so that each successive product we were creating was a lot easier,” said Bhatt. Meanwhile, MongoDB Atlas provides an AI-ready foundation on which to build future generative applications.

OUTCOME

Driving customer productivity gains with dozens of products

Powered by MongoDB, Rippling has expanded its platform to dozens of offerings, boosting productivity for internal teams and customers. It also built Data Connectors, a framework that ingests external customer data into MongoDB-backed models, enabling Rippling’s Solutions team to build tailored, customer-specific configurations on top of the platform.

Now, the company is using its foundation on MongoDB to develop an AI agent to guide users across its full product suite. “Having a common data store on MongoDB opened up those possibilities for us,” said Bhatt.