AI assistant
for your business
on your knowledge base

A scripted chatbot follows branches somebody wrote by hand and stops at the first unexpected question. An assistant retrieves from your own documents and data and composes the answer, which is why it also cites the source. You can check every answer instead of trusting it.

It answers strictly from the sources you connected, and when it finds nothing it says so instead of guessing. Every answer carries the document and the clause it came from, so a reviewer can verify it in one click.

Anything with an API: ERP and CRM systems, document storage, wikis, ticketing, databases. Documents can be in any common format, including scans, which we run through recognition first.

The assistant only reaches data you opened to it, and only within the permissions of the person asking. It never crosses into the rest of the system, and any change it makes waits for a human to confirm it.

Yes, though it usually costs more: a self-hosted model needs a GPU server, rented or bought. So while the task involves no sensitive data, most teams start on cloud LLMs. When the data is sensitive, we deploy an open-source model inside your perimeter: the model, the knowledge base and the logs never leave the company, which is what GDPR and internal security reviews ask for. We do it end to end, including the servers, the deployment and the access rules.

Business processes change and the solution grows with them: we refresh the knowledge base as your policies and products change, extend the scenarios to neighbouring tasks, and move to stronger models as they ship. You can run this yourself or hand it to us as support.