Find the precedent
Search agreements, policies, matter notes, and templates with source references and review boundaries.
Worldwide / remote delivery
We build useful AI assistants and workflow automations around your documents, systems, and team. You choose the cloud, provider, region, or local setup that fits your requirements.
Example only / architecture varies by client
For teams whose files are the business
We work with professional-services firms, agencies, SaaS teams, accounting practices, and other document-heavy businesses.
Search agreements, policies, matter notes, and templates with source references and review boundaries.
Route email, meeting notes, invoices, and requests through controlled workflows with human approval.
Deploy an internal agent workspace with approved tools, projects, files, and team access.
Architecture
We document the path before the deployment begins. The chosen model provider, channel, and storage change the answer.
Application and retrieval in your cloud, with the model provider and billing account you approve.
Use an approved region and documented provider controls for residency and procurement requirements.
Run inference and retrieval locally when no external model provider may receive the document content.
Own your knowledge base
Documents, the retrieval index, access rules, and the workflows built around them are the asset, and they compound. The big AI platforms would rather you rent that asset inside their walled garden. We deploy so the knowledge base stays yours: on your accounts, in the cloud, region, or hardware you choose, under access rules your team defines. The model behind the answers is a connector — switch providers, move regions, or go fully local, and the knowledge base moves with you, not with the vendor.
The document store, metadata, and retrieval setup live on accounts you own, in the environment the architecture chose. No vendor holds the corpus.
The model behind the answers can change — API provider, regional cloud, or local hardware — without rebuilding the knowledge base, the access rules, or the workflow.
Every improvement to the corpus improves the answers, and the improvement stays with you. The moat is the accumulated material, not a subscription.
The first engagement
Describe what people search, write, classify, or repeat today.
We map the documents, users, model path, region, integrations, and boundaries.
One workflow, one interface, a fixed test set, and a practical handover.
Add sources, permissions, actions, languages, or a team workspace when the first result earns it.
Why trust Pristine3D?
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.
Based in Lagos, Nigeria, Pristine3D currently builds and operates smartcards.ng, venu.ng, photoshoot.ng, and ugc.ng in production.
One input, one output, one test set, and one person who owns the result. We scope a real workflow instead of a transformation programme.
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
The final quote follows the workflow. Infrastructure and model bills stay on your accounts.
One workflow for a small team, with training and handover.
See the one-workflow packageMultiple sources, roles, integrations, and admin handover.
See the deploymentStandard 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
Keep exploring
Start with the problem
Send the workflow and the main constraint. We will return a recommended architecture and fixed scope.