Have a problem worth building around?
Whether you are looking to build an AI system, turn an AI idea into a product, automate a business workflow or engineer a software product from the ground up, tell me what you are trying to achieve.
Based in Lagos, Nigeria · Working with teams globally
What are you trying to build?
You do not have to know the technical answer before reaching out. Start with the outcome you want and we can work backwards from there.
Build an AI System
Build an AI-powered system around a real business workflow. This could be an AI agent, knowledge assistant, document intelligence system, customer support system, research workflow or another intelligent process.
AI agents, RAG systems, knowledge assistants, document intelligence, customer support, sales automation, research systems, internal AI tools.
Build an AI Product
Turn an AI idea into a usable product. I can help shape the architecture, engineer the application, integrate the AI layer and build the infrastructure around it.
AI SaaS products, AI-powered applications, agentic products, intelligent platforms, AI developer tools.
Build a Software Product
Build the software foundation your business or product needs. This can include web applications, platforms, APIs, backend systems and cloud infrastructure.
SaaS platforms, web applications, internal tools, marketplaces, portals, APIs and backend systems.
Automate a Workflow
If your team is spending too much time on repetitive, manual or information-heavy work, we can look at the workflow and identify where software, automation or AI can remove unnecessary effort.
Lead qualification, customer follow-up, document processing, reporting, data movement, notifications, operational workflows and WhatsApp-based business processes.
I Have a Problem, But I'm Not Sure What to Build
That is completely fine. You do not need to arrive with a technical specification. Explain the problem, what your team currently does and what you would like to improve. We can work out whether the right answer is AI, automation, software or a combination.
Every project is different, but the process should remain clear.
Understand — Start with the business problem, users, workflow, constraints and desired outcome.
Define — Identify what should be built and decide whether AI, automation, conventional software or a combination makes sense.
Design — Define the product experience, system architecture, integrations, data flows and technical approach.
Build — Engineer the application, AI components, backend services, integrations and infrastructure.
Validate — Test the system, evaluate AI behaviour where relevant and address reliability, security and edge cases.
Launch — Deploy the system and make sure the required operational foundations are in place.
Improve — Continue refining the system based on actual usage, feedback and changing business requirements.
Prefer to start with a direct conversation?
If you already know what you need, you can get in touch directly. If you are still figuring it out, the enquiry form above is usually the better starting point because it gives enough context to make the first conversation useful.
Frequently asked questions.
Still unsure? Bring your question directly and we can figure it out together.
Start a ConversationDo I need to know exactly what I want to build before contacting you?
No. You can start with the business problem, workflow or product idea. We can work out whether AI, automation, software or a combination makes sense.
Do you only build AI products?
No. AI is a major part of my current work, but I also build software products, web applications, backend systems and cloud infrastructure.
Can you build a custom AI system for my business?
Yes. The system can be designed around your workflow, existing tools, data and operational requirements.
Do you work with international teams?
Yes. I'm based in Lagos, Nigeria and work through remote collaboration with teams across Africa and internationally.
Can you help with the technical architecture before development starts?
Yes. Architecture, system design and technical discovery can be part of the engagement when the project requires it.
What if my idea does not actually need AI?
That is worth discovering early. If conventional software or automation is a better fit, the solution should reflect that rather than adding AI unnecessarily.
