> For the complete documentation index, see [llms.txt](https://documentation.accern.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://documentation.accern.com/master.md). # Introduction Accern Corporation is a leading no-code, artificial intelligence (AI) company that allows technical and non-technical users to build AI-powered solutions. Powered by Accern’s adaptive NLP and forecasting models**,** financial teams can easily build AI-solutions and uncover insights hidden in unstructured and structured data. Accern's no-code, AI-platform can easily ingest unstructured data (i.e., hidden textual data) and convert it into a structured dataset with our proprietary analytics. These analytics quantify the data with metrics around sentiment, relevance, and grouping. The process of generating a custom dataset with Accern is as simple as a 5-step workflow, which will be described in more detail. Additionally, there are semi-supervised processes in place, allowing a user to continually expand upon and refine their models. If there is anything you would like this guide to cover, please reach out to --- # 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: ``` GET https://documentation.accern.com/master.md?ask= ``` 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.