Your documents stay yours
The system runs on your accounts with your documents and a documented data path.
Reference / private AI questions
The questions buyers actually ask, answered in plain language.
This page collects the questions teams ask before a first private AI workflow: what private means, what it costs, who owns the infrastructure, and what happens after handover.
DefinitionPricingOwnershipHandover
Pattern demonstration / same workflow, synthetic material
Fixed-scope setupClient-owned accountsDraft-and-review firstFull handover
What this page answers
Private AI is a deployment choice, not a magic category.
The useful questions are about data, accounts, scope, and review. Those are the questions this page answers directly.
Fixed scope, fixed price
One workflow from $3,500, firm-wide from $7,500, with client-owned accounts.
Your team runs it
Training, runbook, credentials, and support route are part of the delivery.
The FAQ boundary
This page answers general questions. Scope decides the rest.
One workflow first
The first project is one source, one interface, and up to 10 users.
Human review stays final
High-stakes outputs remain reviewed by the responsible owner.
No compliance promises
A deployment supports review; it does not certify legal or regulatory compliance.
How to use this page
Start with the question closest to your situation.
Check the basics
Read the definitions and pricing answers below.
Find your industry
Use the role, industry, and workflow pages for a closer fit.
Describe the workflow
Send the recurring task that takes too long.
Get a fixed scope
Receive a recommendation, scope, and quote before build.
The most important private AI feature is that the buyer can explain where the data went.
Why trust Pristine3D?
We build and operate production software.
Pristine3D Ltd builds and operates live digital products, and we run private AI workflows internally as part of our own operations. We scope around your real workflow: the documents you own, the questions your team asks, and the access boundary you approve. Based in Lagos, Nigeria, we work remotely with clients worldwide.
We already run live products
Based in Lagos, Nigeria, Pristine3D currently builds and operates smartcards.ng, venu.ng, photoshoot.ng, and ugc.ng in production.
We start with the actual workflow
One input, one output, one test set, and one person who owns the result. We scope a real workflow instead of a transformation programme.
The boundary stays visible
Cloud, model, storage, and messaging accounts stay in your name. The chosen data path, access rules, test record, documentation, and training are part of the agreed scope.
Pricing / fixed scope
Know the starting numbers before you ask.
The final quote follows the workflow. Infrastructure and model bills stay on your accounts.
One Workflow
Starting from$3,500 / ₦2.5m
2 to 3 weeksOne workflow for a small team, with training and handover.
See the one-workflow packageFirm-wide
Starting from$7,500 / ₦8m
4 to 6 weeksMultiple sources, roles, integrations, and admin handover.
See the deploymentAnnual support
Starting from$3,000 / ₦1.5m
per yearStandard care for one delivered workflow. Optional. Larger deployments and active monitoring are separately scoped.
See supportArchitecture review from $500. Standard annual support is $3,000 / ₦1.5m per year for one delivered workflow. New workflows, integrations, active monitoring, and infrastructure are separately scoped; infrastructure, model, storage, and messaging bills stay on client accounts. Full pricing and what changes the quote
Straight answers
Common questions.
What is private AI?
AI deployed on client-owned accounts and environments, with your documents, your access rules, and a disclosed data path.
How much does it cost?
One workflow from $3,500, a wider deployment from $7,500, and annual support from $3,000. Infrastructure and model bills stay on your accounts.
Who owns the accounts?
You do. The system is deployed on accounts under your control and handed over with credentials.
Is our data used to train anything?
No. The setup runs on your accounts and documents, with no public training pipeline.
Do we need an IT department?
No. The first workflow is scoped for a named operator, with training and a runbook.
How long does it take?
One workflow typically takes 2 to 3 weeks, and a wider deployment 4 to 6 weeks, after scope is agreed.
What happens after handover?
Your team runs it with training and a runbook. Annual support covers monitoring and normal care.
Can we switch models later?
Yes. The knowledge base, index, and workflow stay yours, so the model is a swappable part.
Own your knowledge base
The model is not the product. The knowledge base is.
Documents, the retrieval index, access rules, and the workflows built around them are the asset, and they compound. We deploy so the knowledge base stays yours: on your accounts, in the environment you choose, under access rules your team defines. The model behind the answers is a connector, so the knowledge base moves with you, not with a vendor.
Your corpus, your index
The document store, metadata, and retrieval setup live on accounts you own. No vendor holds the corpus.
Models are swappable parts
Change the model provider, move regions, or go local without rebuilding the knowledge base or the workflow.
The knowledge base is the alpha
Every improvement to the corpus improves the answers, and the improvement stays with you, not with a vendor.
Keep exploring
Related setups.
Start with the question
What is the workflow that takes too long?
Tell us the task and the data it touches. We will answer the next question with a scoped recommendation.