Solutions · Private AI & Custom LLM

Your own AI. Your data. Never anyone else's.

Quick answer: A private AI is a custom LLM trained on your own documents and running on infrastructure you control — so you get a ChatGPT-grade assistant that knows your business, without your data ever leaving it or training someone else's model. Brixx Digital builds it as a system you own. Published starting prices: a Core Build from $5,000, quoted from a Blueprint (from $1,500, credited toward the build).

Trained on your documents · runs on infrastructure you control · owned outright · quoted from a Blueprint

The challenge

ChatGPT is brilliant — and a liability with your data.

Your team already pastes customer details, contracts, financials and internal docs into public AI tools, because it saves them time and the work is better for it. The problem isn't the AI; it's where the data goes. On the public tools you don't control where it's stored, who can see it, or whether it's used to train the next model. For anything sensitive — client records, pricing, legal, health, anything under an NDA — that's a risk you can't paper over with a policy nobody reads.

A private AI closes that gap. We build you your own model: trained on your documents, running on infrastructure you control, answering in the context of your actual business. Same leverage your team already wants — drafting, answering, summarizing, analyzing — except the data stays inside your walls, nothing is used to train anyone else's model, and the system is yours to keep. Not a subscription that can change its terms next quarter. Yours.

A private AI assistant running inside a secured, self-contained infrastructure block
A model that knows your business — inside your own walls.
What you can build

One brain for your whole business.

If your team keeps asking the same questions, re-reading the same documents, or pasting the same context into a chatbot, it's a candidate. A few of the private-AI builds we're asked for most:

Company Brain

→ An internal assistant trained on your SOPs, contracts and history: ask it anything, get the answer with the source, in seconds instead of a Slack hunt.

Document Q&A

→ Point it at thousands of files, policies or past projects and ask plain-English questions — it cites the exact document it pulled from.

Drafting on your voice & data

→ Proposals, reports and replies drafted in your language, from your real numbers and templates — not a generic guess.

Private analysis

→ Summaries, trends and “what changed” across sensitive data that you'd never paste into a public tool.

Support & intake triage

→ Reads incoming requests against your knowledge base, drafts a grounded reply, and flags what truly needs a human.

Wired into your systems

→ Plugged into your CRM, portals and automations, so the intelligence lives where the work already happens.

What we build

The deliverables.

  • A private LLM set up on infrastructure you control (your cloud or ours, your call)
  • Your documents ingested, indexed and kept current
  • A clean chat / assistant interface your team actually uses
  • Source citations on every answer, so you can trust and verify it
  • Access controls: who can ask what, and an audit trail
  • Bring-your-own-key or fully self-hosted — you own the running costs and the system
  • Documentation, training and a proper handover, delivered through your Project Portal
Who it's for

Made for.

  • Firms handling sensitive data — legal, health, financial, anything under NDA
  • Teams already pasting private info into public AI tools
  • Owners who want the leverage of AI without the vendor lock-in
  • Businesses sitting on years of documents nobody can quickly search
The line that matters

Owned, not rented.

The whole point of a private AI is control, so we're specific about what that means. Your data is handled privately and is never used to train a third party's model. The system runs on infrastructure you control, with your own keys, so you own both the model and its running costs outright. We can sign an NDA before we ever see a document. And because you own it, there's no per-seat subscription that climbs as you grow or changes its terms on you next quarter.

We're not promising magic, and we'll tell you where a private build is overkill. What we promise is a specific, inspectable system: you see what it was trained on, you see where each answer came from, and you keep the keys.

A secured knowledge core at the center of a business, access controlled and owned
Your model, your keys, your walls.
Services & pricing

How much does a private AI cost?

A private AI is a custom build: it starts from a Blueprint (from $1,500) that scopes it, then a Core Build from $5,000, quoted to what you actually need.

Model, data volume, hosting and access needs all move the number, which is exactly why we scope it in the Blueprint before quoting, rather than guess.

Brixx Digital published prices as of 1 November 2026
StageWhat it coversPublished starting price
BlueprintYour use case, data, model and hosting mapped into a buildable, costed specFrom $1,500, credited toward the build
30-day pilotA working private assistant on a focused slice of your dataPilot fee credits toward the build
Core BuildThe full private AI: model, your documents, interface, access controls, wired into your systemsFrom $5,000, quoted from the Blueprint
Care PlanMonitoring, model and document updates, and support after launchFrom $150/mo, optional

Last reviewed 1 November 2026. Prices as published on our pricing page. You also own the ongoing model/hosting costs directly, since the system is yours.

Build vs subscribe

Private build, or just a ChatGPT subscription?

If your data isn't sensitive and off-the-shelf is enough, a ChatGPT Team or Copilot subscription is cheaper and faster than a private build.

A private AI earns its cost when the data genuinely can't leave your control, when you need answers grounded in your documents with citations, or when per-seat subscriptions climb with headcount while you'd rather own the system once.

  • Off-the-shelf is the better value when the work isn't sensitive and generic answers are fine.
  • A private build wins when compliance, confidentiality or ownership matter — and when "don't paste that into ChatGPT" is a rule you actually need to enforce.
Questions

Good to know.

Is my data used to train the AI for anyone else?
▾

No. Your documents are used to make your assistant better, and nothing else. The system runs on infrastructure you control, your data is handled privately and never shared, and we can sign an NDA before we see a thing.

Do I own it, or is it a subscription?
▾

You own it. It's a build, not a seat you rent. You keep the system and the keys, you run it on infrastructure you control, and you own the ongoing model and hosting costs directly — no per-seat pricing that climbs as you grow. An optional Care Plan is there if you'd rather we keep it updated and monitored.

Which model does it use?
▾

Whatever fits your needs and budget, scoped in the Blueprint: a top commercial model via your own private key, or an open model you host yourself for maximum control. We match the model to the sensitivity of the data and the job it's doing.

Will it make things up?
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We build it to answer from your documents and cite the source, so you can verify every answer rather than trust a black box. No system is perfect, which is exactly why citations and access controls are part of the build, not an afterthought.

How do we start?
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With a Blueprint that scopes your use case, data and hosting into a costed plan, or a 30-day pilot on a focused slice of your data. The Blueprint fee credits toward the build.

Brixx Digital (brixxdigital.com) is a custom business systems studio and a St. Clair Studios company. It is not Brixx, the financial forecasting software, and not Brixx Media or Bricx. Similar names, separate companies.

Founding access is open

Give your business its own brain.

Tell us what your team keeps pasting into ChatGPT, or the documents nobody can search. We'll scope a private AI that does it safely — starting with a Blueprint, no obligation until you approve the plan.

Two ways to start

Ready for private AI on your own data?

Here's what we'd build you — now pick how you want to kick it off. No long form just to look around.

Talk it through

Book a call with our team

A quick 20-minute call: we map what you need, answer your questions, and scope it live — you leave knowing exactly what it'd take and roughly what it costs.

Book a call →
Keep it digital

Start a digital intake

Prefer async? Answer a few quick questions and we'll come back with a plan and a ballpark — no call required.

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