The entire agent stack - local LLM, RAG, vector database, embeddings, reranker, logs, and integrations - can run within your company’s infrastructure. We know it.
Send me a DM with a little about yourself and the problem you’re looking to solve.
This post is for CTOs, CEOs, and information security leaders.
Does data privacy matter to your business? Or have you already tried AI but haven’t seen any real value?
We build AI agents that can securely connect to real business data - within your company’s own infrastructure.
Multiple agents can take on different roles, use approved tools, share context, and work together to handle an entire business process.
One agent retrieves data, another checks documents, and a third prepares the output. A human steps in only where approval is actually needed.
We’ve been deep in local LLMs for a while - we know the good, the bad, and the ugly.
If privacy and token control matter, we can advise, audit your setup, or help with the architecture.
I believe in the power of X - help this зщые reach the CTOs and security folks who need it.