Your data Private AI Self-hosted language models

Run language models on infrastructure you control when data sensitivity, compliance or volume make a shared API the wrong fit.

Assess private AI Infrastructure

Powerful AI, inside your boundary.

Some workloads should not leave your environment: confidential documents, regulated data or information you are contractually bound to protect. Others run at a volume where per-request API costs become significant.

We assess whether private deployment makes sense, then design and operate it: model selection and licensing, hardware or cloud capacity, serving, access control, monitoring and updates. We are just as clear when a managed API is the better choice.

What private deployment covers.

A complete, operable system, not just a model download.

Feasibility and costing
Workload, data rules and budget assessed against realistic hardware and running costs.
Model selection
Open-weight models evaluated on your tasks, with licensing checked.
Infrastructure
On-premises, dedicated or private cloud capacity sized for the workload.
Secure serving
Models served behind authentication, with network boundaries and audit logs.
Integration
Connections to your applications, documents and knowledge systems.
Operations
Monitoring, updates, capacity planning and re-evaluation as models improve.

Data stays where it belongs.

In a private deployment, prompts, documents and outputs are processed within infrastructure you control. Combined with access controls and logging, that gives a clear answer to where data goes and who can see it.

We document the architecture so your security and compliance teams can review it properly.

Processing inside your environment
Authentication and audit logging
Architecture documented for review

Private deployment

Your infrastructure

Your appsStaff & systems

AI gatewayAuth, limits, logs

Model serverOpen-weight LLM

Knowledge indexPermission-aware

Public AI services: not required

Sized for the real workload.

Model size, context length, concurrency and response time all drive hardware requirements. We measure your workload and recommend the smallest setup that meets the need, with a plan for growth.

Our infrastructure engineering experience means the environment is monitored, backed up and maintainable, not a fragile experiment.

Hardware sized from measured demand
Throughput and latency tested
Maintainable, monitored operation

gpu-node-01

$ status gpu-node-01

●Model serverrunning · open-weight model
●Requestsauthenticated · rate limited
●Networkprivate subnet only
●Audit logshipping to your SIEM
●Evaluationnightly regression suite

How we work together.

A clear, collaborative process with no surprises. You always know what is happening, what we need from you and what comes next.

Step 1
Find the use case
We identify a task with a clear input, a repeatable decision and a way to check the result.
Step 2
Prove it
A focused pilot tested on your real examples, with an honest view of accuracy, cost and limits.
Step 3
Build it properly
Integrations, permissions, monitoring and human review where the stakes call for it.
Step 4
Operate & improve
Evaluation, cost tracking and improvements as your data and needs change.

Questions, answered.

Anything else you would like to know? Ask us directly and we will give you a straight answer.

Are open-weight models good enough?

For many focused business tasks, yes, particularly when combined with retrieval and good evaluation. We test candidate models on your examples so the decision is based on evidence.

Is private AI more expensive?

It has higher fixed costs but can be cheaper at high, steady volumes. We model both options so you can compare total cost honestly.

Can we start with a hosted API and move later?

Yes. We design applications so the model provider can be changed, which keeps your options open.

Related services.

Let’s build something exceptional.

Tell us about the website, platform or problem you have in mind. We’ll reply within one working day with honest advice on the best next step.

Start a project See our work

Or email hello@glenndilen.co.uk

Your data Private AI Self-hosted language models

Powerful AI, inside your boundary.

What private deployment covers.

Feasibility and costing

Model selection

Infrastructure

Secure serving

Integration

Operations

Data stays where it belongs.

Sized for the real workload.

How we work together.

Find the use case

Prove it

Build it properly

Operate & improve

Questions, answered.

Related services.

AI development

Infrastructure

Knowledge systems

LLM development

Let’s build something exceptional.