Software engineering · Lagos · Abuja · Global
Software your business can depend on.
We design and build the systems your organisation runs on — from the tools your team opens every morning, to mobile apps that work in the field, to AI assistants that know your business — and we make sure they keep working long after launch.
The problems we’re built for
These problems cost real money — and they rarely show up on a report.
Information exists but doesn't reach the people who need it in time.
The record was correct. The message was sent. The parent still didn't know the school was closed. Nobody was wrong, and it still failed.
Your systems don't talk to each other, so people fill the gap by hand.
Someone retypes one system into another every morning. They are the reason it works, their error rate is nobody's metric, and they are on leave next week.
Operations happen somewhere you can't see, and you find out afterwards.
The rig site knew at 09:40. The town office knew at 10:20. The decision that mattered was made at 10:00.
AI that sounds authoritative and is wrong is worse than no AI.
It answered with complete confidence, the customer believed it, and you found out from the complaint rather than from the system.
Every one of these is the same failure. Information stopped moving.
Every organisation runs on information that has to get from where it is to where a decision is made — on time, unchanged, and in a form a person can act on. We call that signal, and building systems that carry it is the whole of what we do.
What we build
Five practices. One discipline.
Most engagements use more than one of these, because most real problems do not respect the boundaries. The split is how we organise expertise, not how we quote for it.
Industries
Where we work, and what makes each one hard.
Not every sector here has an AZCY platform, and we say so on the page rather than stretching one to fit.
How we engineer
What working with us is actually like.
The parts of an engagement that decide whether it works get decided early, and they are mostly unglamorous. Here they are.
The practice
- 01
Discovery
We find the exceptions. Anyone can describe the happy path in a workshop; what determines whether the system works is the duplicate submission, the approver on leave, the record that arrives out of order, and the spreadsheet one team maintains because the last system failed to model something real. We go looking for those, with the people who do the work rather than the people who describe it.
A written problem statement, the constraints we will design against, and an explicit list of what we are not building.
- 02
Architecture
We decide the load-bearing things before we write code: where data lives and who may hold it, what happens when a dependency is down, which system is right when two disagree, and how the thing gets recovered. These decisions are cheap now and structural later — every one of them is a rewrite if it is made by accident.
An architecture written down, with each decision paired to the trade-off it makes. A decision with no recorded cost is a preference.
- 03
Build
In slices that reach production, not in phases that reach a demo. Each slice is a thin path through the whole system — interface to storage and back — so integration risk surfaces in week three rather than in month five. You see working software early and often, and you can change your mind while changing it is still cheap.
Working software in an environment you can use, from the first slice onward.
- 04
Instrumentation
The system ships able to tell you what it is doing. Not a dashboard added at the end — logging, metrics, and audit designed with the feature, because the question you will need answered at 2am is not one you can add later. If we cannot tell you why it did what it did, we have not finished.
Observability in place, alerting that reaches a person, and an audit trail that answers what happened to a record and who touched it.
- 05
Handover
We write for the engineer who has never met us, because that is who will maintain this. Documentation that assumes the author has left, a runbook someone has actually followed, and a recovery that someone has actually performed. Handover is a thing we do throughout, not a session in the last week.
Documentation, a rehearsed runbook, a recovery someone on your side has run, and a team that does not need us.
The standards
What we hold to regardless of the engagement.
Instrumentation
Every system we ship can answer what it did, when, and for whom, without a developer opening a database. Logging, metrics, and audit are designed with the feature rather than added after an incident.
Testing posture
We test the things that would be expensive to get wrong, and we are honest that this is a judgement rather than a percentage. Money movement, permissions, reconciliation, and the unusual cases get real coverage. Chasing a coverage number produces tests of trivial code and a false sense of safety.
Security review
Identity, permissions, and data custody are designed at architecture, not audited at the end. Dependencies are tracked, secrets are never in the repository, and access is granted and revoked in one place — so an audit is a report we run, not a discovery.
Documentation
Written for the engineer who has never met us. Architecture decisions with their trade-offs, a runbook for the things that break, and the reasoning behind the choices — because the code shows what, and the next team needs why.
Recovery, rehearsed
A backup is a file. A recovery plan is a thing someone has done and timed. Before we call a system live, someone has restored it into a clean environment and watched it come up.
Handover
The engagement ends with your team able to run and change the system without us. That is the deliverable. A dependency on us at the end is a failure we would rather not design in.
- Platform & Language
- .NET · C# · Python · TypeScript · Node.js
- Web
- React · Next.js · SignalR
- Mobile
- Flutter · Android · iOS
- AI
- Semantic Kernel · OpenAI · Azure OpenAI · LLMs · RAG · vector search
- Data
- PostgreSQL · SQL Server · Redis
- Cloud & Runtime
- Azure · AWS · Docker · Kubernetes · CI/CD
- Protocols & Integration
- WITSML · SRT · RTMP · REST · gRPC · OAuth 2.0 · webhooks
Platforms we’ve engineered
Some problems repeat.
The same operational failure shows up in a school in Lagos, a broadcast in Nairobi, a rig in Port Harcourt. When we have solved a problem enough times to see the pattern underneath it, we stop rebuilding it and engineer it properly. Every AZCY platform started as someone’s specific problem.
Four different signals. One engineering discipline. Yours is probably a fifth.
See how we workContact
Tell us what cannot go wrong.
If you have a system that has to work — and a reason it currently doesn’t — that is the conversation we want. You will speak to an engineer, and we will tell you honestly whether we are the right people to build it.
Start a conversationWe reply to every enquiry within one business day.