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Our system uses Retrieval-Augmented Generation (RAG), which forces the AI to act like an “open-book” researcher. Instead of guessing, it must find a specific passage in your documents to answer. If the answer isn’t in your data, the AI is programmed to say “I don’t know” rather than inventing a response. Every answer comes with direct citations and clickable links to the source file for instant verification.

No. We use enterprise-grade “Private RAG” architectures. Your data is stored in a secure, encrypted vector database that is logically isolated from the public internet. The AI models “read” your data to answer your specific query, but they never “learn” or retain that information to help other users outside your organization.

Yes. We use advanced Document Intelligence (including 2026-spec OCR and layout analysis) to understand tables, handwriting, and complex formatting. Whether it’s a 500-page technical manual or a folder of mismatched invoices, our pipeline cleans and structures the information so the AI can “read” it as clearly as a simple text file.

The system respects your existing Role-Based Access Controls (RBAC). When a user asks a question, the AI only “retrieves” information from folders or databases that the specific user already has permission to view. If a user doesn’t have access to the “Finance” folder, the AI will simply act as if those documents don’t exist.