Name the reason
Choose and document the lawful basis for each processing purpose before the system is used.
Privacy / GDPR-ready AI use
GDPR does not ban AI. It bans unexplained processing.
Use AI the same way you would use any processor: decide why you process personal data, what the data path is, who processes it, how long it is kept, and how a person can exercise their rights. We deploy private workflows with those decisions written down so review does not depend on memory.
Lawful basisPurpose limitProcessor mapRights record
Pattern demonstration / same workflow, synthetic material
Fixed-scope setupClient-owned accountsDraft-and-review firstFull handover
Where GDPR review actually happens
The rule is about the record, not the technology.
An AI system is easier to review when the purpose, data, processors, retention, and safeguards are one document instead of scattered assumptions.
Trace the data
List sources, processors, regions, retention, access, and deletion steps for the workflow.
Prepare the answers
Keep subject access, correction, deletion, and portability records connected to the processing.
The GDPR boundary
The system prepares the record. The controller owns the legal route.
Advice stays expert
Lawful basis, applicability, and exemptions remain with the organization and its advisers.
Every processor is named
Model providers, hosting, storage, and support routes are documented in the data path.
No automatic contact
Regulator, employee, or data-subject communications remain explicit human decisions.
A first GDPR-ready workflow
Start with one processing purpose.
Choose the use
Pick one AI use with a clear owner, such as internal search, drafting, or triage.
Map the path
Document the data, purpose, processors, regions, retention, access, and deletion steps.
Run the check
Compare the record with the defined fields and review missing or stale items.
Build the review pack
Prepare the summary, source index, and open questions for the responsible owner.
The least risky AI is the one with a readable data path.
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 this make us GDPR compliant?
No. It organizes the processing record. Applicability and compliance stay with the organization and its advisers.
Can it draft a privacy notice?
It can prepare a draft from approved company facts. The notice, legal review, and publication stay with the organization.
Where is the data hosted?
On the client's accounts and chosen environment, with the region and provider named in the handover.
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 use
Which AI use needs a defensible record?
Tell us the processing purpose, the data sources, and the review owner. We will scope the first workflow around the record you already hold.