Like communicating with a human being, you can standardize and define your AI assistant by simply typing text in natural language, giving it specific tasks and tones to ensure consistency and compliance with corporate regulations when interacting with users, minimizing the risk of the AI conveying a harmful corporate image. Users are free to choose from the world’s most advanced large-scale language models, and Xtan updates the most advanced models in real-time to ensure that your AI assistant is always of the highest quality in the industry.

Xtan currently supports large-scale language models including but not limited to: Azure OpenAI GPT, AWS Bedrock Claude, Meta Llama, and other state-of-the-art models.

Xtan integrates structured and unstructured corporate data through its proprietary retrieval-augmented generation (RAG) technology, keeping information up to date so your AI responds accurately to real business needs.

The following file formats are supported for manual uploading to the Knowledge Base: DOC, DOCX, PDF, TXT, XLS, XLSX, JSON, JSONL, PPT, PPTX, CSV, MD

In addition to using the AI Assistant within the platform, you can also publish the AI Assistant to other platforms, such as Line, Messenger, and the enterprise website, and even create dedicated URLs and APIs for it, which can be done with just one click without additional programming, so that the enterprise's AI application is not limited. All conversations are recorded, allowing you to understand the usage of the AI assistant from different perspectives, such as qualitative and quantitative, and then obtain analytical reports to help you fully grasp how the AI assistant responds to various questions.