Private AI for Business

Self-hosted AI / Ghana

Self-hosted AI for Ghanaian companies, under Act 843 and the DPC.

Private AI deployed for Ghanaian businesses under the Data Protection Act 2012 (Act 843), with hosting in an African region and a disclosed data path. The Data Protection Commission registers data controllers and processes complaints, so the deployment documents who owns the accounts and where the data sits.

From GHS 54,000 / $3,500 / NGN 2.5m floorsaf-south-1 (Cape Town) optionClient-owned accountsFull handover
A private assistant runs inside the environment you choose and answers from supplied documents with sources.

Example only / architecture varies by client

Designed for review against the Data Protection Act 2012 (Act 843) and the Data Protection Commission (DPC)af-south-1 (Cape Town) optionClient-owned billingFull handover

Why it matters here

Ghanaian teams are asking the ownership questions first.

Registration under Act 843 and the DPC's complaint function make the documented data path the practical requirement.

01 / ACT 843

The national frame

The Data Protection Act 2012 (Act 843) establishes the data protection frame in Ghana. The deployment documents purpose, access, and processors.

02 / DPC

Registration and complaints

The DPC registers data controllers and processes complaints. The handover is written for that standard of review.

03 / AFRICA HOSTING

Data in the region

af-south-1 (Cape Town) is the default, with on-prem for stricter requirements.

The three levels

The architecture follows the constraint.

There is no single correct answer. Quality, privacy, residency, and budget decide the path.

Your cloud

Your cloud, in Africa

App and document store in your account in af-south-1 (Cape Town), with the model on your key. No GPU required.

Regional

For location requirements

An approved cloud region or managed service when residency and procurement matter.

Fully local

For strict control

Model, embeddings, and retrieval on your hardware when external inference is not acceptable.

What it really takes

Measured workloads, not GPU shopping lists.

Hardware is sized after the workload is real. These are starting points, not quotes.

API-BACKED PILOT

4 to 8 vCPU, 16 to 32 GB RAM

No GPU required for the app and document store. Model usage bills stay on the client account.

LOCAL MODEL

From 24 GB VRAM

A starting point for a small quantized text model. Model size, concurrency, and latency decide the real requirement.

THE OPERATING REALITY

Power, cooling, updates, backups

A GPU is one part of the environment. A partner data centre can be more realistic than an office server room.

HARDWARE IS AN ADD-ON

Not the first promise

We size hardware after the workload is proven. No GPU inventory before a signed scope and deposit.

Straight answers

Common questions.

Where would the data be hosted?

The default is af-south-1 (Cape Town), documented in the architecture. Fully local deployment is available.

Does the DPC approve systems?

No. The DPC supervises data controllers under Act 843. The deployment provides the documentation a review would inspect.

Who owns the accounts?

The Ghanaian client owns the cloud, model, and storage accounts. Pristine3D hands over the runbook, credentials, and training.

Do invoices come in Ghanaian cedis?

Yes, from GHS 54,000 for a first workflow, with USD and naira floors unchanged.

Act 843 asks who controls the data. The architecture answers in the client's name.

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.

METHOD

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.

OWNERSHIP

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.

Annual support

Starting from
$3,000 / ₦1.5m
per year

Standard care for one delivered workflow. Optional. Larger deployments and active monitoring are separately scoped.

See support

Architecture 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

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.

THE ASSET

Your corpus, your index

The document store, metadata, and retrieval setup live on accounts you own. No vendor holds the corpus.

THE LOCK-IN

Models are swappable parts

Change the model provider, move regions, or go local without rebuilding the knowledge base or the workflow.

THE ALPHA

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 constraint

What is your constraint?

Residency, DPC review, procurement, or a no-external-inference rule. Describe it and we will map the architecture.

Prefer email? Message us at hey@pristine3d.com.