XPndAI builds AI chatbots trained on your proprietary company data — documents, wikis, product manuals, and databases — using RAG so answers are always accurate, cited, and up-to-date.
Connect any data source — Google Drive, Confluence, SharePoint, Notion, PDFs, databases, and URLs — and index it into a private, secure vector store.
Employees and customers ask questions in plain English. The AI retrieves the most relevant sections from your data and synthesizes a direct, cited answer.
Every answer includes the source document, section, and page number — users can verify every response and trust the system completely.
Your data never leaves your infrastructure. We deploy fully private RAG systems on your cloud account or on-premise servers.
Automatic re-indexing when your documents are updated — the chatbot always has access to the latest version of your knowledge base.
WhatsApp, Slack, Teams, web widget, mobile app, or custom interface — deploy your company-data chatbot wherever your team works.
A 500-person tech company built our RAG chatbot on their HR policy documents, leave policies, onboarding guides, and IT helpdesk FAQs. Employees ask questions in natural language and get instant, cited answers — reducing HR ticket volume dramatically and freeing up the HR team for strategic work.
A SaaS company trained our RAG chatbot on their product documentation, help articles, and release notes. Support agents and customers can now query the knowledge base conversationally — with the AI surfacing exact documentation sections and guiding users to solutions without manual searching.
Talk directly to our lead engineers. We audit your requirements, propose the exact architecture, and give you a transparent roadmap — all in one call.