### 엔터프라이즈 AI 에이전트: 매출 성장 전략의 혁신

### 기업 수익 혁신: 고급 에이전트의 역할
* 🏢 현재 **기업용 에이전트를 개발하는 기업**이 상당수 존재하며, **진입 장벽이 낮아진 덕분**에 기존 벤더와 신규 스타트업이 모두 시장에 진입하고 있습니다.
* 🚀 브록스는 대기업의 매출 성장을 가속화하는 것을 목표로 하는 **엔터프라이즈 AI(EAI) 구축**에 주력하고 있으며, **Salesforce 및 Microsoft와 같은 주요 업체들과 차별화**됩니다.
* 📈 많은 비즈니스 소유자가 전례 없는 매출 성장을 경험하고 있으며, 일부는 **팀 규모를 늘리지 않고도 매출 목표를 두 배로 달성**하는 등 효율성의 필요성이 강조되고 있습니다.
* 🔑 영업 환경은 **대기업 매출의 90%가 최대 고객**으로부터 발생하며, **직원의 15%만이 이를 지원**하는 힘의 법칙을 따릅니다.
* 🤖 Brock의 기술은 이러한 최고 성과를 내는 직원들의 역량을 강화하여 궁극적으로 **생산성을 향상**시킬 수 있도록 설계되었습니다.
* 💰 **5천만 달러를 모금한 Brock's**는 기업이 고객 관계를 관리하고 성장시키는 데 필수적인 역할을 함으로써 강력한 사용자 파이프라인을 확보하는 것을 목표로 합니다.
* 📊 Brock EAI의 핵심 장점은 데이터 계층과 긴밀하게 통합하여 **웨어하우스 네이티브 기록 시스템을 활용**하여 에이전트를 효과적으로 강화할 수 있다는 점입니다.
* 🌟 에이전트에게 동력을 제공하는 강력한 데이터 집계에 힘입어 초기 도입이 순조롭게 진행되어 **브록스는 엔터프라이즈 시장의 핵심 플레이어**로 자리매김했습니다.

Rocks는 데이터 기반 에이전트를 통해 매출을 극대화하여 기업 영업에 혁신을 일으키고 있습니다.

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.