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Private LLM infrastructure

On-Premise LLM Deployment in Denver

The best On-Premise LLM Deployment in Denver, at the best available price.

$0 upfrontPay per accepted checkpointSenior engineer, no agency markup

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.

Denver and Boulder form one of the most active startup regions between the coasts, with strengths in aerospace, outdoor and consumer brands, fintech and SaaS. The region attracts founders who left larger cities, and companies here tend to be capital efficient by necessity.

Aerospace and defence suppliers around Denver often cannot let technical data leave their environment at all. A private, air-gapped deployment brings language models to that work without moving the data.

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, 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.

Denver, Colorado

Who builds here

SaaS and fintechAerospace and defenceBoulder's startup and accelerator sceneOutdoor and consumer brands
Best fit in Denver

AI Product & MVP Development

The Denver and Boulder scene is full of capital-efficient early-stage companies that need a real product built quickly without a large team.

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 Denver

What actually applies here.

Regulation and data

Colorado passed the first broad state law on high-risk AI, the Colorado AI Act, which puts duties on companies that use AI to make consequential decisions about people, such as hiring, lending, housing or insurance. Its start date has been pushed back and the law revisited more than once, so check the current version with counsel before relying on any summary. The Colorado Privacy Act already applies, and since 2025 it includes specific rules for biometric data.

Contracting and payment

You contract with an individual consultant based in India rather than a US entity. Invoices are issued in USD and paid by Wise or bank transfer, with no payroll and no benefits load on your side. Whatever documentation your finance team or counsel needs from an overseas contractor is provided before work starts.

Working hours

Calls in your morning, Mountain time, a shared window at the start of your day, and work handed over overnight so the next round is waiting when you start.

Does the Colorado AI Act apply to our product?

It focuses on high-risk systems that make, or substantially influence, consequential decisions about people. Most internal tools, chat assistants and analytics fall outside that definition. Your counsel makes the call; we build the documentation, testing and human review it would require if you are in scope.

Do you work with Boulder companies as well as Denver?

Yes. The work is remote with calls in your morning Mountain time, so where you are in the region makes no difference.

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.