AnnouncementIntroducing MongoDB 8.0, the fastest MongoDB ever! Read more >>

Ignition Builds AI Software on MongoDB to Automate Go-To-Market Process

Photo of a man and woman looking at a computer screen.

INDUSTRY

Computer Software

PRODUCT

MongoDB Atlas
MongoDB Atlas Vector Search

USE CASE

Gen AI

CUSTOMER SINCE

2021
Ignition is an AI-driven collaboration software for go-to-market teams, designed to streamline and automate the entire go-to-market (GTM) process. It centralizes plan documentation, tasks, and assets, and offers tools for planning, asset management, and market research. With MongoDB Atlas, Ignition is able to have its vector search and operational data within one database to sync quickly and easily, and has been able to get its product to market fast.
Karthik Suresh, CTO, explains how Ignition uses MongoDB Atlas Vector Search to quickly go-to-market. This transcript has been edited for clarity.

We are building the world's first AI product manager. We help automate the entire product development lifecycle. We always felt like there's a big gap between product and marketing teams and product and sales teams, and that's kind of how Ignition was born.

You can literally take a process that takes almost 90 days, like a product launch process, and then get it done in as little as 90 seconds basically within one click of a button. You could build something like Ignition without MongoDB at its core, but it would probably take way more time—you would invest a lot more in resources and figuring out your infrastructure.

We always use MongoDB Atlas for all our operational data—it's our primary database. We started the company, that was the first database we used, and it's mainly because it's developer friendly and we can store all the unstructured data using the document model—you know, JSON format super easy to use.

But now, again with AI, we just talked about retrieval-augmented generation. And for that, we initially started using a separate vector database. But now we moved over to use Atlas Vector Search because the most important thing is it's easy to have all of your data in one place. It's easy to sync data between your database and your vector index. Now that we are using Atlas Vector Search, we have both the vector search and the operational data in the same database.

So MongoDB has been critical for us getting our Ignition platform quickly up and running and getting it in the hands of the customers, so we're really happy customers of MongoDB. MongoDB was the perfect choice for Ignition.

What will your story be?

MongoDB will help you find the best solution.