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Private LLM infrastructure

On-Premise LLM Deployment in the UK

You have the GPU and you have the model. What is missing is the leg in between: the model exposed as a reliable private API, reached securely from your application, returning data you can trust. That is the whole engagement.

UK buyers tend to arrive with a clearer specification and a tighter budget than their US counterparts, and they ask harder questions about who is actually doing the work. That suits an arrangement where one named engineer does all of it and says so. London day rates for senior AI engineering make an in-house-quality build uneconomic below a certain deal size, and that gap is what this fills.

What you get

  • vLLM serving tuned to your GPU: quantisation on the native kernel path, KV cache sizing, continuous batching, prefix caching
  • A private network path with no public exposure, verified as a direct peer connection rather than a relay
  • Schema-constrained responses plus a deterministic QA gate, so a wrong answer is rejected rather than rendered
  • Documented baseline: tokens per second, time to first token, real concurrent capacity
  • Infrastructure as code in your repository, a runbook, and every credential held by you
Fixed-fee assessment, credited in full against the build.

No upfront payment and no escrow required. You hold every dollar until a checkpoint is delivered and accepted, and thirty days of defect correction is included. Scope and price are set on a call.

Invoiced in USD or GBP, payable by Wise or bank transfer.

Request a callback

You speak to the engineer who does the work. No sales rep, no deck.

No spam and no sales team. You talk directly to Neeraj.

A single GPU server lit in a dark data-centre aisle, the hardware a self-hosted model runs on
Architecture diagram of a private LLM deployment inside your network: your application calls a backend gateway, which reaches a vLLM model server running an open-weights model on your GPU over a private encrypted network with no public endpoint. Every response passes a deterministic validation gate before it returns to the application. Secrets sit in a managed store, the model port is bound to a private interface, output is review-only, and third-party model APIs are not used.
The request never leaves your network, and nothing reaches your users without passing the validation gate.
How you pay

Get it built at $0.

That is not a discount. It is when you pay. The work is split into checkpoints with acceptance criteria written down before anything starts, and each checkpoint is invoiced only after you have seen it and accepted it. No deposit.

$0 to start
You hold every dollar until a checkpoint is delivered and you accept it. No approval, no invoice.
Fixed cost, unlimited features
Or hire the team outright: one fixed monthly cost, unlimited feature development, any stack.
The engineer takes your call
The person on your first call is the one who architects and writes it. No account managers, no bench time.

A US agency quotes $50,000 to $150,000 for the same build and asks for 40 to 50% of it before a line is written. Account managers, project managers, sales commission and bench time. None of it appears in your product.

How it works

Three stages, nothing hidden.

01

Fixed-fee assessment

Five business days from the day access is in place. Your stack examined end to end, existing work classified as preserved or replaced with reasons, the connection design, and acceptance criteria written as testable statements.

02

Implementation in checkpoints

Around three weeks. Each checkpoint has written acceptance criteria agreed before work starts, and is invoiced only after you accept it. Appoint an independent technical reviewer if you want one.

03

Handover and closeout

One real request through your real application, on synthetic data, passing every QA rule. Runbook, recorded handoff, and all our access removed with written confirmation.

Working in the UK

What actually applies here.

Regulation and data

In practice the constraint is commercial before it is legal. UK buyers, especially in health and financial services, ask where data is processed and who can see it, and they ask it in the first procurement conversation rather than the last. Running the model inside your own estate turns that from a question you have to argue about into one you answer in a sentence.

Contracting and payment

You contract with an individual consultant based in India, not a UK company. Invoices can be issued in GBP or USD and paid by Wise or bank transfer. Your accountant will treat an overseas supplier in the usual way; any paperwork they need is provided before work begins.

Working hours

Full UK working-day overlap. Calls at whatever hour suits your team, and no waiting a day for an answer.

Can everything stay inside the UK?

Yes. The deployment runs on your own hardware or in a UK region of your own cloud account, so data does not leave the country. That is usually the quickest way to close out a procurement question about overseas processing.

What does the working day look like?

Full overlap with UK hours. Calls whenever suits you, same-day answers, and no overnight round trip on questions that should take ten minutes.

Who actually does the work?

One named engineer, end to end, with nothing delegated to a team you have not met. That is the point of the arrangement rather than a limitation of it.

We already have hardware and a model running. Is that a problem?

It is the ideal starting point. Existing work is classified during the assessment as preserved unchanged, preserved with changes, or replaced, with reasons, and nothing is replaced without your written agreement.

Can it be fully air gapped?

Yes, including model and dependency mirroring, offline updates and local evaluation, with no outbound network access at all.

Who holds the accounts?

You do, throughout. Cloud accounts are created and held by you, our access is named and limited-privilege, and it is removed at handover with written confirmation.

Full detail

Private LLM Infrastructure

Self-hosted LLM deployment on hardware you own. vLLM serving, private networking, validated output.