Generic AI tools don't know your business — and shouldn't see your data.
We build Retrieval-Augmented Generation (RAG) systems that let AI answer questions using your private documents and data, securely.
A RAG system:
Your documents are stored in a vector database, indexed for semantic search.
When asked a question, the system finds the most relevant information from your data.
AI uses the retrieved context to generate accurate, grounded answers.
No training on public internet data. No data leakage.
Let employees find answers from company documentation, policies, and procedures instantly.
Answer employee questions about benefits, policies, and processes accurately.
Help sales teams find product information, case studies, and competitive intelligence.
Make technical docs searchable and answerable for support and engineering teams.
Quick access to compliance documentation and audit trails when needed.
Add new documents instantly. No retraining required.
Answers are grounded in your actual documents, reducing hallucination.
Your data stays in your control. No sending sensitive data for model training.
Clear visibility into what sources were used. Auditable and explainable.
Perfect for businesses with changing documentation.
Documents are intelligently split to preserve context and meaning.
We use the best embedding models for accurate semantic search.
Role-based access ensures users only see documents they're authorised for.
Built to handle growing document libraries and user loads.
Built for reliability, not demos.
Ready to let your team query your business knowledge with AI? Let's build a RAG system that works for you.