Ginux Technologies designs and builds production AI systems, backend platforms and the infrastructure underneath them — for companies that need them to be reliable, secure and maintained after launch.
Most of our work starts the same way: something important needs to be built, or something already built has stopped being reliable. We take it from there.
“Our AI feature works in testing and falls apart with real users.”
We design and deliver production AI systems — retrieval, agents, evaluation, orchestration and deployment — built to hold up under real traffic, real data and real edge cases.
“We need this built properly the first time.”
Backend systems, APIs and platforms engineered for scale and maintainability, so the thing you launch this year is still the thing you're running in three years.
“We're deploying AI and we don't know what we're exposed to.”
Technical controls, policies and enforcement infrastructure for deploying AI systems responsibly — including regulatory requirements in African jurisdictions.
“We have a decision to make and no one internal who can call it.”
Independent technical guidance for leaders choosing between architectures, vendors, build-vs-buy, or whether a project is viable at all.
₦2,000,000 · 2–3 weeks
For companies with a system that isn't working, or one they're about to commit budget to building.
We review the architecture, the code and the failure points, then hand you a written report: what's wrong, what it will take to fix, and what that costs.
You end up knowing whether the thing can work — before you spend a year and a budget finding out the hard way.
From ₦3,000,000/month · 3-month minimum
For companies that need a production AI system designed and built, not prototyped.
Hands-on engineering with architecture ownership. Evaluation, monitoring and documentation built in from the first week rather than bolted on at the end. Full handover to your team.
You end up with a system that holds under real traffic and real data — and that your own engineers can maintain after we leave.
From ₦5,000,000/month
For companies deploying AI continuously who need senior engineering judgement available, not scheduled.
Ongoing architecture ownership, priority response, governance and compliance review, and a quarterly technical roadmap.
You end up with senior AI engineering capacity without the eighteen months and the salary bill it takes to hire it.
International engagements are quoted in USD. We'll tell you honestly if we're not the right team for it.
Comply54, our open-source governance layer, runs inside two production AI systems — an autonomous code review agent and a video intelligence platform analysing footage for security events. It enforces policy and regulatory checks at the point where those systems take action, not after the fact.
Claims assessors were reviewing vehicle damage photographs by hand on every submission, which slowed settlement and left room for inconsistent judgement. We built a computer vision system that identifies and classifies damaged motor parts directly from claim photos. It processes 1,000 photographs a day in production.
Alongside client work we build and run our own technology. It's where we test ideas, and it's the reason we know what production actually demands.
Open-source infrastructure for enforcing policies and regulatory requirements before AI systems take action.
A transaction trust layer that helps people verify counterparties before money changes hands.
An AI-powered learning platform helping university students research, build projects and learn together.
We care about what happens after the demo.
We build your system to last — versioned, documented and maintainable — so your team owns it fully after we leave.
We measure what we build, test our assumptions and let real evidence shape what comes next.
We invest in strong standards, documentation, review and people — so every system and every team makes the next one better.
Practical research on AI governance, intelligent systems and the infrastructure around them — including The Enforcement Gap: Why Africa's AI Regulations Need Runtime Enforcement.
Tell us what you're building or what's broken. We reply to every serious enquiry with an honest read on feasibility, scope, and whether we're the right team for it.
