Secure Local LLM
A local AI engine that works with your organization's documents, cites its sources, and never lets your data leave company boundaries.
Why Run Your Own LLM?
General-purpose external LLM services deliver strong answer quality, but your documents and questions leave the organization. Small, fully local models protect your data, but usually fall short on answer quality and source fidelity. Our secure LLM engine draws on global model quality during development, while production runs entirely inside your organization's boundaries, on a local LLM and local RAG.
Built for teams that need an AI assistant working on their own documents, with sources they can trust.
Core Capabilities
Source Citation
Every answer is delivered with the document and page it's based on; unsourced information is never generated.
Role-Based Access
Documents are scoped to defined roles and departments; unauthorized users can't reach that content.
Fully Local
Documents, embeddings, and model output never leave your organization's boundaries.
Continuous Quality Testing
A golden dataset and automated evaluation metrics keep answer quality tested on an ongoing basis.
Let's talk about your own secure LLM
Let's look at how it would work with your organization's documents.