What we build
Agent Trained on Your Documents
An agent that answers questions using your own manuals, contracts, and tickets — not the public internet.
What it is
We connect an AI agent to your internal knowledge — policies, product docs, past tickets, contracts, wikis — so it answers only from sources you control. This technique is called retrieval-augmented generation (RAG): the agent looks up the relevant document before answering, and cites where the answer came from. Cuts down made-up answers and lets your team trust what it says.
What you walk away with
An agent connected to your knowledge sources, with citations on every answer.
An agent connected to your manuals, contracts, tickets, wikis, and policies.
Citations on every answer — the source doc is one click away.
An honest “I don’t know” when the answer isn’t in your sources.
A refresh schedule so new docs are searchable the day you publish them.
Search and conversation through Slack, email, or your support tool.
Who it’s for
Support, legal, HR, or sales-engineering teams answering the same document-heavy questions weekly.
Common concerns
What we’ve already thought about.
Hallucination
Every answer cites the document it came from. If the agent can’t find a relevant source, it says so instead of guessing.
Replacement anxiety
Your team becomes the editor, not the search engine. The agent surfaces the right doc; humans handle the judgment call.
