### Enterprise AI Agents: Revolutionizing Revenue Growth Strategies

Rocks is revolutionizing enterprise sales by supercharging revenue through data-driven agents.

### Transforming Enterprise Revenue: The Role of Advanced Agents
* 🏢 There is a significant number of companies currently developing agents for enterprises, with both **established vendors and new startups** entering the market due to **lowered barriers of entry**.
* 🚀 Brock's is focused on building **Enterprise AI (EAI)** that aims to **accelerate revenue growth** for large enterprises, distinguishing itself from major players like Salesforce and Microsoft.
* 📈 Many business owners are experiencing **unprecedented revenue growth**, with some **doubling their revenue targets** without increasing team size, highlighting the need for **efficiency**.
* 🔑 The sales landscape follows a power law, where **90% of revenue** in large enterprises comes from their **largest customers**, supported by just **15% of employees**.
* 🤖 Brock's technology is designed to **augment the capabilities of these top-performing employees**, essentially **supercharging their productivity**.
* 💰 With **$50 million raised**, Brock's aims to secure a strong pipeline of users by being **essential to enterprises in managing and growing their customer relationships**.
* 📊 The core advantage of Brock's EAI is its ability to **integrate deeply with the data layer**, utilizing a **warehouse-native system of record** to power its agents effectively.
* 🌟 Early adoption has been promising, driven by the **powerful data aggregation** that fuels the agents, positioning Brock's as a **key player in the enterprise market**.

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 growing incumbent kind of market of vendors who are
repositioning themselves as the

companies.
And then because of the barriers of entry being lowered, there is this all
these 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 is already plowing
money into, Microsoft isn't doing, or some

of the other startups that are in the
field. Yeah, at Brock's we're building EAI 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 the revenue targets, but none of them are
doubling the team size. Hmm.
So the interesting thing about sales is it follows the power law.
90% of the revenue in a scale enterprise

comes in to your largest enterprise
customers, which is supported by a top 15% of your employees.
Okay. 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 super
powering, 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 to be able to tackle that?
To be essential to an enterprise and essential to securing and growing their
customers.

Like the core advantage of AEI is to be
able to deeply couple with the data layer, said Rocks.
We built the first enterprise-ready swarm that is powered by a warehouse
native system of record. So Rocks has, we've seen amazing kind of
early adoption because of the power of

data that that we aggregate that fuels
these agents.

Rox's Revenue Efficiency Goals

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Bloomberg Technology

Market Landscape and Competitive Advantage

Many companies are building enterprise AI agents, including incumbents and startups.

Despite competition from Salesforce and Microsoft, the company secured funding from Sequoia and General Catalyst.

The company's AI focuses on accelerating revenue for large enterprises.

Revenue Generation and Employee Efficiency

Most revenue in large enterprises comes from a small percentage of top employees.

The technology aims to improve the productivity of top-performing employees.

The company's approach is differentiated from Microsoft's offerings.

The company discusses strategies to build its user base with the acquired funding.

The core advantage is deep coupling with data layers and a warehouse-native system.

Early adoption is driven by the power of aggregated data.