Metatext is an AI-powered tool for classifying and extracting information from text and documents using custom-trained Large Language Models (LLMs). It's designed for various domain-specific problems, like classifying customer emails, extracting key terms from legal contracts, or summarizing specific format reports.

Users can fine-tune models effortlessly using a no-code interface, distilling their data into private, scalable, custom models. Whether you need Binary, Multi-class, Multi-label, Sentiment, Topic, or Intent classifications for your text, Metatext can handle it.

It can also extract key pieces of information, recognize entities, and identify keywords. For text generation, Metatext lets you fine-tune LLMs to your domain, which is valuable for tasks like Question & Answering or creating chatbots.

Users can train models with less data and annotation time, evaluate them for enhancing trustworthiness, and deploy them efficiently. This deployment can be integrated into your systems via an API, Zapier, Google Sheets, Docker, AWS, and Hugging Face.

Additionally, Metatext offers task-specific LLMs within a no-code platform for automating business processes. Its use cases extend to customer support, insights, content moderation, healthcare, finance, and HR.