> For the complete documentation index, see [llms.txt](https://docs.grafilab.io/home/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.grafilab.io/home/whitepaper/what-are-we-building.md).

# What Are We Building?

<figure><img src="https://1226672118-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fik9Q8vtUkKidGP27NXSD%2Fuploads%2FG4x2WRgNowSISfIbWmo7%2FPowering%20The%20Future%20Of%20AGI.png?alt=media&amp;token=442f97f1-a4c2-4968-bccf-27979a7482ff" 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.