Self-hosted AI for business

Most AI tools on the market are cloud services. When your team uses them, your documents, conversations, and operational data are sent to servers owned by someone else, often offshore, often under terms that allow your inputs to be retained or used to train future models. For a marketing agency, a law firm, a manufacturer, or a healthcare practice, that's a genuine commercial and compliance risk, and one most businesses take on without ever really deciding to.

Self-hosted AI removes that risk at the architectural level. Your knowledge layer, your models, and your workflows all run on hardware that physically sits in your office or your data centre. Nothing leaves the building unless you explicitly allow it.

It also changes what the spend buys. A subscription is worth nothing the day it stops. An owned system is an asset that appreciates: it grows sharper with every document it files and every correction your team makes, and it is still yours in ten years.

Every claim on this page rests on a single line: the wall of your building. Here is what sits inside it, and what never gets across.

For a long time, self-hosting meant accepting weaker capability in exchange for control. That trade-off has largely disappeared. Modern open models running on the right hardware are more than capable of the work most businesses actually need, unifying scattered knowledge, processing documents, automating operations, without sending a single byte to an external cloud. The capability gap that once made self-hosting a compromise has closed.

Every build runs on a private, self-hosted core. We deploy a retrieval-augmented knowledge layer that unifies your scattered knowledge and makes it searchable, then build the custom AI automation your operation needs on top. Access is logged and role-restricted. Retention and deletion are governed by policy. The system is designed to pass an audit, not retrofit one.

Where a task benefits from a frontier cloud model and involves only public information, we route it through a controlled gateway that strips any identifying data first. Your private operational data never takes that path. Private by default, with public-only exceptions you can see and audit.