# What Are We Building?

<figure><img src="/files/TApGyiDXVMmp0AqvzQKP" alt=""><figcaption></figcaption></figure>

Grafilab is uniquely positioned to address the growing demands of the AI market through its comprehensive suite of decentralized AI products:

* **Grafi Cloud:** By integrating centralized and decentralized GPU resources, Grafi Cloud ensures cost-effective and scalable computational power to support compute-intensive tasks, from AI training to gaming.
* **Grafi Co-Builder:** The Co-Builder platform fosters collaboration among developers, offering essential resources for AI apps/agents training, deployment, and project co-creation. This promotes innovation and accelerates the development cycle.
* **AI App Store:** Grafilab’s AI App Store empowers developers by providing a seamless platform to deploy and monetize AI applications & agents. Users benefit from an extensive catalog of AI tools tailored to diverse industry needs.
* **AI Data Layer:** The Grafi AI Data Layer collects data from sources like CeDePIN Cloud, Inference API, and AI Apps/Agents within the Grafi ecosystem. It validates, labels, and organizes data into swarms, ensuring high-quality inputs for model fine-tuning. This refined data enhances Grafilab's customized MoE LLM and smaller LLMs, catering to diverse AI needs efficiently.


---

# 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://docs.grafilab.io/home/whitepaper/what-are-we-building.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.
