Plan the model source
Model files and dependencies are staged and verified before the network boundary closes.
Extreme privacy / air-gapped AI
Air-gapped AI is a supply-chain decision, not just an offline mode.
An air-gapped deployment runs without internet access, which changes how models are obtained, how data is refreshed, how updates arrive, and how support works. We scope those details before promising an offline system.
No internet pathModel supplyUpdate routeSupport plan
Pattern demonstration / same workflow, synthetic material
Fixed-scope setupClient-owned accountsDraft-and-review firstFull handover
What air-gapped changes
The hard part is not the model. It is the whole life cycle.
A system with no internet path still needs model files, retrieval, backups, updates, monitoring, and a way for support to operate safely.
Refresh inside the wall
Documents, indexes, and backups are maintained through controlled, approved routes.
Design the support route
Diagnostics, updates, and incident handling work without exposing the environment.
The air-gap boundary
No internet is a control, not a compliance certificate.
Each network is different
The boundary, approved transfers, and exception routes are documented for the client's environment.
Model quality still matters
The selected model is tested on the client's corpus before deployment.
Operations stay owned
Updates, backups, and incidents have named owners and procedures.
A first air-gapped project
Start with the boundary and the workflow.
Define the boundary
Confirm what may cross the network, how, and under whose approval.
Scope the workflow
Pick the document set, users, outputs, and latency needs.
Stage the supply
Prepare models, dependencies, indexes, and support tooling inside the environment.
Test and operate
Run real questions, document exceptions, and hand over the runbook.
An air gap only helps if everything needed to run the system is already on the right side of it.
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.
Can all AI run without internet?
Retrieval and local inference can. Some features, updates, or integrations need a controlled transfer route.
Who updates the model later?
The runbook names how updates are staged, verified, and applied inside the boundary.
How does support work?
Support is designed around the client's network rules, often through controlled diagnostics and on-site work.
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 boundary
What must the system stay inside?
Tell us the network, workflow, model needs, and support constraints. We will scope the air-gapped deployment around them.