> For the complete documentation index, see [llms.txt](https://docs.chaingpt.org/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.chaingpt.org/overview/chaingpt-foundation.md). # ChainGPT Foundation ## Intro Welcome to the ChainGPT Foundation, where we house three innovative companies: ChainGPT AI, ChainGPT Pad, and ChainGPT Labs. ### Our Vision: At ChainGPT Foundation, we envision a future where advanced AI technologies power the decentralized Web3, blockchain, and crypto landscapes, making these technologies accessible, efficient, and user-friendly for everyone. *** ### **ChainGPT AI** A leading provider of AI-powered infrastructure for the crypto, blockchain, and Web3 industries. It offers automated smart contract generation and auditing solutions, autonomous community management, advanced Web3 AI Chatbots, AI-powered news aggregation, and NFT generation to improve the Web3 space for retail users and startups. ### **ChainGPT Pad** A platform designed to support promising Web3 projects that want to introduce tokens into their ecosystems and launch them via IDOs. It provides comprehensive support to ensure project success. ### **ChainGPT Labs** It offers extensive support to emerging Web3 projects, with investments ranging from $100k to $400k. It also provides strategic guidance, marketing expertise, and hands-on involvement, including incubation and an acceleration program. --- # 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.chaingpt.org/overview/chaingpt-foundation.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.