> For the complete documentation index, see [llms.txt](https://docs.gradient.network/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.gradient.network/meet-gradient.md). # Meet Gradient Gradient is an AI R\&D lab dedicated to building **open intelligence** through a fully decentralized infrastructure — **OIS (Open Intelligence Stack)**, encompassing **distributed training, serving,** agentic systems, and more. We are solving the hardest and most ambitious problem in the intersection of Blockchain x AI: How do we train/serve good LLMs over public internet — Is it even possible to build an OpenAI competitor over a permissionless, autonomous network? Our current OIS includes **Parallax** for distributed serving, **Echo** for distributed reinforcement learning, and **Gradient Cloud** for enterprise solutions. Backed by **top investors** and a team of **world-class researchers**, Gradient is committed to releasing more frontier research that will unlock a future where **intelligence can be assembled, scaled, and evolved by anyone, anywhere**. ### Our mission Gradient is building the world’s first Open Intelligence Stack: a sovereign, peer-powered infrastructure where intelligence is hosted, served, and owned by the people. Our goal is a global foundation that enables the **distribution, evolution, and embodiment** of intelligence. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## 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, and the optional `goal` query parameter: ``` GET https://docs.gradient.network/meet-gradient.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. 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.