castis.io / Services / On-premise AI service development
PRIVATE AI · YOUR DATA

On-premise AI service development

Business solutions powered by private AI — built on your own knowledge, data and systems, running where you choose.

HOW WE WORK

Start with the problem, not the model

We do not begin with a model choice. We begin with the task that is slow, repetitive or dependent on one person knowing something, and work backwards to what the AI service has to do.

Built on what you already hold

Your documents, your operating procedures, your property and customer systems. The service is grounded in that material, with access filtered at retrieval so an answer can never contain something the asker is not entitled to see.

Runs where you choose

On your own hardware, in your own data centre, in a private cloud tenancy, or at the edge of a property. Your data does not leave the boundary you set, which is what makes this answerable in a government or regulated procurement.

SCOPE
Foundation
Model hosting, retrieval, evaluation, prompt and agent lifecycle
Grounding
Your documents and systems, indexed with access control applied at retrieval
Governance
Every inference logged and attributed to an organisation, workspace and application
Deployment
On-premise, private cloud, hybrid or edge — data stays inside your boundary
Handover
Source, documentation, deployment and operating runbook
WHAT WE BUILD

Knowledge Portal Automation

Turn scattered documents, procedures and tribal knowledge into a portal your team can ask questions of — with citations back to the source.

AI Concierge

A guest-facing assistant grounded in one property, answering in the guest’s language and creating real service tasks.

AI Staff Assistant

An assistant inside the staff app that answers procedure questions, drafts handovers and summarises a shift.

Document Intelligence

Extract, classify and validate structured data from contracts, invoices, forms and reports, with a human approval step.

AI Workflow Automation

Detect, decide and route across your existing systems — the model recommends, a person approves, the owning system applies the change.

Private AI Deployment

Model hosting, inference, retrieval, evaluation and governance on infrastructure you control.

One platform underneath. Every engagement adds to one reusable platform: model hosting and inference, a retrieval layer with permission filtering, evaluation and guardrails, an approval inbox, and inference audit. The first project pays for the foundation; the fourth one runs on it.

Tell us about the project.

Discuss a projectEnquire