Start with one workflow
Choose the lookup, report, or follow-up that returns the most time for the smallest scope.
Bootstrapped / fixed cost and ownership
Bootstrapped companies cannot waste money, and they cannot waste hours either.
We build one fixed-scope workflow from $3,500 on accounts the company owns. No recurring setup fee, no platform license that rents your own knowledge back, and no GPU requirement for the first project.
From $3,500Fixed scopeClient-ownedNo GPU needed
Pattern demonstration / same workflow, synthetic material
Fixed-scope setupClient-owned accountsDraft-and-review firstFull handover
Where bootstrapped teams lose both
The budget and the week both have limits.
A first AI project should fit one budget, solve one workflow, and give the team evidence before anything expands.
Keep the system client-owned
Storage, model path, and billing stay on accounts the company controls, so nothing is rented back.
Baseline before expanding
Record the current time, errors, or queue before the build and compare after the first weeks.
The bootstrapped boundary
The system should reduce cost without creating new overhead.
No GPU shopping list
The first workflow can run on client cloud accounts without buying local infrastructure.
No platform dependency
Client-owned accounts and a handover mean the company is not renting its own knowledge base.
Expand on evidence
Sources, users, and integrations grow after the first workflow has a real owner and visible use.
A first bootstrapped workflow
Pick the project with the clearest return.
Name the workflow
Pick one repeated task with a clear input, output, and owner.
Set the baseline
Record how long the task takes, how often it repeats, and who does it.
Deploy the first scope
Build one workflow on client-owned accounts, test it, and train the team.
Review the evidence
Compare time saved, errors reduced, or queue movement before deciding what comes next.
For a bootstrapped team, the best AI project is the one that pays for itself in weeks, not a platform to manage.
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.
Is the first workflow really from $3,500?
Yes, as a starting point. The final quote follows discovery and depends on sources, users, integrations, and actions.
Do we need self-hosted hardware?
No. Self-hosting is one option for strict control. Most first workflows run on client cloud accounts with no GPU.
Can we stop after the first project?
Yes. Accounts, credentials, and documentation are handed over. Annual support is optional, not required.
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 budget
Which workflow should pay for itself first?
Tell us the task, the current time it takes, and the team that owns it. We will scope the smallest project with the clearest return.