Turn requirements into a first draft
Convert approved product or client requirements into technical questions, acceptance criteria, and a specification for engineers to review.
Engineering / technical context and repeatable review
Engineering teams have too much context switching. Give the useful context a path.
We build private engineering workflows that search approved technical material, turn requirements into drafts, summarize incidents, compare architecture notes, and prepare review packs. Code changes, security decisions, and production releases remain with engineers.
Technical sourcesCodebase contextReview packsNo blind deploys
Pattern demonstration / no client code
Where engineering time goes
The hard part is not always writing code.
Requirements, incident history, architecture decisions, tickets, and technical documentation create a large context layer around the work.
Search the codebase context
Find the relevant design notes, services, interfaces, incidents, and decisions without relying on one person's memory.
Prepare the review pack
Summarize logs, tickets, timelines, and known fixes into a cited incident or architecture brief.
Engineering ownership stays clear
An assistant can prepare the change. It cannot own the release.
Scope repositories and systems
Repositories, tickets, logs, secrets, and production systems need different access and should not become one open context.
Keep the engineer in the loop
Generated code, specs, fixes, and security findings are drafts or findings until the responsible engineer reviews them.
Make deployment boundaries explicit
Tools can be connected for read-only research or an approved sandbox before any production action is considered.
A first technical workflow
Choose the context that is slowing the team down.
Name the technical artifact
Choose a specification, incident report, architecture review, migration plan, or codebase knowledge problem.
Define the safe sources
List repositories, issue trackers, docs, logs, and the data that must stay outside the first workflow.
Test the reasoning
Check citations, stale decisions, missing dependencies, hallucinated interfaces, and security-sensitive output.
Hand over the operating boundary
Document identity, connectors, model path, logs, evaluation tasks, and who approves changes.
The engineering assistant should remove archaeology around the code, not remove engineering review from the code.
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
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.
Straight answers
Common questions.
Can it write production code?
It can prepare code, tests, explanations, or migration drafts in an approved environment. Engineers review and control merges, releases, and production access.
Can it read our private repository?
Yes, through a scoped client-owned connector or deployment. Repository, secret, log, and production permissions are designed separately.
Is this the same as the startup workspace?
The workspace is the operating environment. This page focuses on the engineering workflows and technical artifacts that environment can support.
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 context
What technical work keeps being re-explained?
Tell us the source systems, artifact, access boundary, and review owner. We will scope a useful first workflow.