# 1.9. How We Make Money

<figure><img src="/files/BCuircuaMhGOuR8KXakT" alt=""><figcaption></figcaption></figure>

**1.9.1.  As an Incubator – Palo Alto Research Lab**

We generate revenue through the following services:

* **Introductions** to market makers, marketing firms, legal services, and exchanges.
* **Successful Deals** – When our **VCs** invest in a project, we earn fees.
* **Advisory Roles** – We receive **equity** and **tokens** for providing advisory support to projects.
* **Deal Flow Subscription & Market Intelligence** – Subscription fees for **VCs**, **angels**, and investors seeking high-value ("alpha") deals and market insights.

*"We hook you up with the right players and get paid for making those connections. If we make a deal happen, we get a slice of the pie. You want alpha? We’ve got the intelligence."*

**1.9.2. As an AI Agent Orchestration C(H+A)RM**

We earn revenue through:

* **Launching AI Agents** – Fees for the initial deployment and activation of **AI agents**.
* **Unlocking Premium Features** – Paid access to advanced functionalities and tools for **AI agents**.
* **Launching Projects** – Fundraising efforts supported by our **Silicon Valley investor community**, helping projects secure the necessary capital.

*"We help you launch your **AI agent** into the world and charge you for making it happen. Want the pro features? That’ll cost you. Our investor crew ensures your project gets funded, no sweat."*

**1.9.3. As an AI Agent Orchestration Layer 3**

Revenue is generated through:

* **Transaction Fees** – We charge fees for **transactions** conducted on our **blockchain**.
* **Connecting Peers** – Facilitating connections and matchmaking between different stakeholders in the ecosystem:
  * **Investors & Builders**
  * **Founders & Launchpads**
  * **Projects & Advisors**

*"We take a cut every time money moves on our blockchain. It’s a matchmaking game—VCs, founders, advisors, agents, we bring them all together and get paid for making things happen."*

This comprehensive model ensures a diverse, scalable revenue stream while enabling continuous innovation and growth within the AI and Web3 space

<figure><img src="/files/6EKs3h1Y4z8paZoh7fba" alt=""><figcaption></figcaption></figure>

<figure><img src="/files/Zez4COiiQAXUzhwDBXu7" alt=""><figcaption></figcaption></figure>

<figure><img src="/files/eabe19rKmDoOj5dZGEQG" alt=""><figcaption></figcaption></figure>

<figure><img src="/files/WmoWehUY1FyGTyeA4Li5" alt=""><figcaption></figcaption></figure>

<figure><img src="/files/kveZl8NY52zZ3CjJ5g3w" alt=""><figcaption></figcaption></figure>

1\. <https://app.safe.global/home?safe=eth:0xca3099DFf7709da06003eCB3F0D01A095582Fa9F>

2\. <https://app.safe.global/home?safe=eth:0x713B3Df22ba903dA8f0E43111E7467bAF8dDEb8D>


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://secret-pad.gitbook.io/aaa-gitbook/1.9.-how-we-make-money.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.