What is Xerno?
Inspiration
Xerno is built to help enterprises turn information overload into actionable insights.
Inspired by the Latin word C—“to discern”—Xerno embodies the mission of enterprise AI knowledge management: to capture, organize, and apply knowledge for better decisions and operational efficiency. In an era flooded with data, Xerno is your trusted AI-native engine to power enterprise transformation.
Our Mission
Seamlessly Capture, Organize, Distill, and Apply enterprise data—transforming it into actionable knowledge that empowers businesses to fully leverage AI.
AI-driven conversations, capture accurate information anytime
With a chat-like conversational search feature, organizations no longer need to spend time compiling and maintaining a knowledge base. Xerno automatically collects and organizes knowledge, identifying the most valuable and reference-worthy information.
*Powered by leading Retrieval-Augmented Generation (RAG)
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Xerno combines enterprise data with LLMs to eliminate AI hallucinations and deliver accurate, application-ready responses.
Knowledge Hub: Automated data organization and collection
Establish automated collection pipelines to continuously gather the new knowledge your enterprise needs. With Xerno, real-time data is periodically collected based on demand, ensuring that your organization’s “brain” always stays up-to-date and significantly reducing the risks of outdated or misused information.
*Patented Data-to-Classification technology
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Automatically organizes uploaded files into the right folders—no manual sorting required.
Permission management for guaranteed information security
Through group-based management, Xerno precisely controls access to resources such as files, reports, and charts. This allows enterprises to efficiently assign appropriate permissions based on roles, ensuring that each team member only accesses the information they need. At the same time, Xerno never shares any of your company’s valuable data with third-party models or platforms for training or use, providing the highest level of cybersecurity protection for your organization.
*Enterprise-grade security
Xerno runs on the world’s most secure cloud platforms, with LLMs that guarantee no collection of customer data.
AI Automatically Generate Documents and Reports
Xerno can automatically learn specific report formats and, based on user requirements, adjust and integrate enterprise knowledge to generate professional documents automatically—no manual setup needed.
*Auto-Prompting technology
enables AI to automatically learn from files and generate effective prompts—no manual setup needed
Knowledge Graph Analysis via GraphRAG
By incorporating the latest GraphRAG technology, Xerno automatically cross-references vast amounts of data to establish connections between pieces of enterprise knowledge. Leveraging knowledge graphs, Xerno uncovers deep insights that have yet to be discovered within data, which could make it truly the brain behind an organization’s knowledge.
*Powered by GraphRAG
Integrates knowledge graphs with Retrieval-Augmented Generation to uncover deep relationships between data and dramatically boost retrieval accuracy.
3 Steps to Start Using Xerno
Invite Your Team and Upload Internal Data
Send one email to invite your team and upload key documents into Xerno
Set Up Permissions and External Data Collection
Configure permissions and external data channels to keep Knowledge Hub updated
Get Started!
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Access answers instantly through conversation, drastically reducing costs Building Trusted Enterprise AI
Trust is the first step in using AI.
Xtan allows you to understand the sources and foundations of AI responses while providing the strictest protection for corporate data.
Based on corporate data
Instantly integrate various types of corporate data. Define data sources to reduce AI hallucinations.
Clear and transparent
Through comprehensive data flow planning, users can clearly response when interacting with AI.
Maximum Protection
Xtan ensures all data are protected by the highest level, and won't be provided to third parties .
Three minutes from build to application
Step 1：
Define your AI Assistant
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.
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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.
Step 2：
Integrate corporate data in real-time
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
Step 3：
Easily connect to all platforms
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.
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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.
The Key to Improving Accuracy
Auto-trim user issues
Automatically adapts the User Prompt to the context, allowing the AI to generate AI-ready question forms to improve response quality.
Transparent mechanism
Xtan scores all AI responses for honesty and response relevance, giving users a clear picture of responses for improvement.
Understanding of sources
Understand which documents or paragraphs are quoted in each reply , collect informations to find out the hotspots, users can continuously update knowledge base.
