Our thesis

Imagine AI is a research and software company that models how modern B2B growth actually works, and builds the infrastructure underneath it in the AI-native era.

B2B growth in first principles is a relationship problem. And to map out relationships in first principles is through a graph that measures each node's (person's) connection with one another. We started with LinkedIn content because it was one of the fastest ways to make B2B connections at scale.

As the world is getting increasingly more noisy through DMs, emails, even your CRM is only used to store some notes that no one reads. At the same time everyone knows it is good to make LinkedIn posts, it is good to host events and reach out to build connection with people. But no one is accurately measuring this in an AI-native era, no one is mapping out who is connected with who, the strength of those connections and how these networks interact. By allowing these properties to be mapped out, we are able to decipher customized ways to reach your targets.

This is the new generation of B2B growth: understanding the homophily properties of your network and utilizing it for growth hacks. Which is the new way of doing growth, figure out who you are selling to, and who's connected with them, and infiltrate those communities through touch points. You want to increase surface area for customers to discover the company, forming edges between prospects and the company. Now you can "hack" into these networks.

We also see a trend where people are reverting to trusting p2p connections and in-person community. So the early trend here is marketing and sales are shifting from mass digital marketing to focused relationship cultivation.

At Imagine AI, we want to become the infrastructure underneath this new generation of B2B growth.