Secure Knowledge Retrieval

Private RAG

Unlock the value of your internal data. Chat with your documents, wikis, and databases securely.

Build Your RAG

Intelligence from Your Data

Deploy a powerful Retrieval-Augmented Generation (RAG) system entirely within your private infrastructure. We index your knowledge base so your AI answers questions based on your facts, not internet hallucinations.

Secure Ingestion

Connectors for SharePoint, Confluence, Salesforce, and SQL databases.

Vector Embedding

Documents are converted into mathematical vectors and stored in a private vector DB.

Citation-Backed Answers

Every answer includes links to the source documents for verification.

Secure Chat Interface

What was our Q3 revenue for Project Alpha?

Based on the Q3 Financial Report.pdf, Project Alpha generated $2.4M in revenue.

Source: /finance/reports/2024/q3.pdf (Page 12)

Enterprise Features

Access Control (RBAC)

The AI only answers based on documents the user has permission to view. HR sees HR data; Engineering sees Engineering data.

Air-Gapped Option

For maximum security, deploy the entire stack (LLM + Vector DB) on hardware with no internet connection.

Model Agnostic

Swap underlying models frontier hosted services, distilled open weights, or proprietary stacks as technology evolves without rebuilding your index.

Chat with your data securely.



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