Rox builds AI agents for enterprise sales, targeting the 15% of employees who generate 90% of revenue. The startup raised $50 million and claims its software lets companies double revenue targets without hiring more salespeople, competing directly against Salesforce and Microsoft.
First things first, before we get to the exact details of the numbers, is how many companies do you estimate are out there building agents for enterprise?
There's quite a few. You have a, you have a growing incumbent kind of market of vendors who are repositioning themselves as the AI companies. And then because of the barriers of entry being lowered, there's always early-stage companies entering the market.
And yet Sequoia picks you, General Catalyst picks you. Why? What are you offering that's different that Salesforce isn't already plowing money into, Microsoft isn't doing, or some of the other startups that are in the field?
Yeah, at Rocks, we're building AI that focuses on accelerating revenue for the largest enterprises. Caroline, what we're seeing is every business owner across every vertical is blowing out their revenue targets for next year. Some of our customers are doubling their revenue targets, but none of them are doubling their team size.
Hmm.
So the interesting thing about sales is it follows a power law. 90% of the revenue in a scaled enterprise comes in through your largest enterprise customers, which is supported by a top 15% of your employees. Okay. You have to— we have to double the revenue You have to get more out of like the top 15% of the employees.
Okay. So you're saying with your technology, with your agents, you're sort of superpowering, augmenting the humans that are currently being hired. But my question remains, sort of why wouldn't someone do that through Microsoft? How can you ensure you continue to build your pipeline of users and indeed with the $50 million that you currently raised, be able to tackle that?
To be essential to an enterprise in securing and growing their customers. Like the core advantage of AI is to be able to deeply couple with the data layer. So at Rocks, we built the first enterprise-ready AI agent swarm that's powered by a warehouse-native system of record. So Rocks has— we've seen amazing kind of early adoption because of the part of the data that we, that we aggregate that fuels these agents.
