Private AI Search for Company Documents (RAG)
We connect large language models to your organization's own documents so your team can search and retrieve facts instantly — without sending sensitive data to public AI tools.
The Problem
- Important information buried across scattered documents and folders
- Hesitation to use public AI tools with confidential company data
- Answers from AI tools that aren't sourced or verifiable
Our Approach
We build retrieval-augmented generation (RAG) systems on infrastructure your company controls, so your team gets instant, sourced answers pulled directly from your own documents.
What You Get
- Private infrastructure — your data stays yours
- Every answer includes a source citation
- Works across PDFs, spreadsheets, and internal documents
- Built to scale with your document library
Frequently Asked Questions
What is RAG and how is it different from ChatGPT?
RAG connects an AI model directly to your own documents so answers are grounded in your actual data, with sources — rather than relying only on the model's general training.
Does this require us to give up control of our data?
No — we build these systems specifically so your data stays on infrastructure you control.
Ready to Start Your Project?
Talk directly with the developers who'll build it — no account manager in between.
Discuss Your Project