PRTOTYPE.COM · Production studioAudit · Build · Maintain
PRoTOTYPE.COM
Private LLM deployment · Your data stays yoursScoped by assessment · Priced as a fixed project

Run the model inside your own walls, not someone else’s API.

A readiness assessment, then a fixed project price. Scoped once we know what you actually need.

Get a straight answer first→
Who this is for

When the data can’t leave the building.

01

You handle sensitive, regulated or proprietary data that shouldn't leave your infrastructure for a third-party API.

02

Your API bill has become a line item the CFO asks about.

03

You want RAG over your own documents without those documents leaving your walls.

What you get

A straight answer first.

→

A readiness assessment first: a straight answer on whether a private deployment earns its cost, including a plain “don't” if that's the finding.

→

Open-weight models (Llama, Mistral, Qwen and similar) running in your own cloud or on your own hardware.

→

RAG built over your documents, inside your infrastructure.

→

Fine-tuning only where the data and the use case justify it, never as a default.

→

Compliance-ready design built in from the start, so nothing has to be retrofitted later.

How it works

Assess, then decide.

01
Readiness assessment
Readiness

We look at your data, your use case and your infrastructure, and tell you whether a private deployment is worth it.

01
02
Specify
Specification

If it is, we write a spec: which models, what infrastructure, what it costs, module by module.

02
03
Build & harden
Deployment

Deployment, RAG and fine-tuning where it earns its keep, tested against the spec.

03
04
Ongoing
Maintain

Model migrations when providers retire versions, eval runs on every change, and a monthly report.

04
How we price

The assessment prices the deployment.

It prices the deployment against what it actually finds. If the answer is don't do this, you still leave with a decision, at a fraction of the cost of a build you didn't need.

Readiness first→Scoped from evidence
Book the readiness assessment→
Questions

Answered plainly.

01

What is a private LLM deployment, and why would I want one?

Open-weight models running in your own cloud or hardware instead of sending data to a third-party API. Worth it if your data is sensitive, regulated or proprietary, or your API bill has become a problem. We assess readiness first, including whether you'd be better off not doing it.

02

What does Maintain include, once it's deployed?

Monitoring, security patching, backup and restore tests, and LLM model migrations when providers retire models on a timetable you don't control.

03

How does fixed pricing actually work?

The assessment produces a spec priced module by module. You know the number before anything is built.

More questions? Read the full FAQ →

Your data stays yours

Find out if a private deployment earns its cost.

The readiness assessment gives you a straight answer, including a straight no.

Readiness assessment · Deployment priced from what it finds
Book a Production Consultation→