A chatbot that actually knows your business.

Most chatbots guess. Ours read. We connect your documents — FAQs, manuals, support tickets, product pages — to a vector database, so every answer is grounded in what your business actually says, not what a general-purpose model assumes.

This approach is called Retrieval-Augmented Generation (RAG): the bot retrieves the relevant passage from your own data before it answers, which is what keeps responses accurate instead of confidently wrong.

Typical uses: customer FAQ deflection, internal knowledge-base search for your team, and pre-qualifying leads before they reach a human. If the bot isn't sure, it says so and hands off — it doesn't invent pricing or promises on your behalf.