Name the route
Every provider, region, and processing step is documented in the handover.
Definition / private LLM
A private LLM is about access, not just about the model.
A private LLM is a language model deployed through infrastructure and accounts the client controls, with your documents, permissions, and data path. The model can be an API, a regional cloud, or a local open-weight model. The boundary is what makes it private.
Client-controlledDocument boundaryDisclosed pathSwappable model
Pattern demonstration / same workflow, synthetic material
Fixed-scope setupClient-owned accountsDraft-and-review firstFull handover
What private changes
The same model can be public or private.
Privacy is not in the model weights. It is in where the system runs, who controls access, and what happens to the documents.
Control the users
Permissions and roles decide who sees which documents and answers.
Own the accounts
The infrastructure, index, and credentials belong to the client.
The private LLM boundary
Private deployment is a control, not a compliance certificate.
The model is swappable
The knowledge base and workflow survive a model change.
Private still needs testing
The model is evaluated on the client's real documents and questions.
Human review stays final
High-stakes outputs keep a named reviewer and approval step.
A first private LLM decision
Start with the boundary, then choose the model.
Name the requirement
Decide residency, offline, procurement, and data sensitivity.
Choose the route
Compare API, regional cloud, or local model for the workflow.
Build the boundary
Connect documents, retrieval, permissions, and review.
Test and hand over
Run real questions, document the path, and transfer accounts.
A private LLM is not a product label. It is a boundary the buyer can explain.
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.
Does private mean no external processing?
Not always. A private deployment can use an API provider under a documented path, or run fully local when required.
Is open source required?
No. Open-weight models are one option. Regional cloud and API routes can also be client-controlled.
Can we switch models later?
Yes. The documents, index, and workflow stay yours.
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 private LLM stay inside?
Tell us the workflow, data, residency, and review needs. We will recommend the model route and scope.