Money goes into features nobody asked for
The build starts from a full product vision instead of the one thing a user would pay for today, and the runway is gone before that thing ships.
Our AI-assisted lean launchpad de-risks your first product build, so you ship the smallest thing that proves demand — and collect the metrics investors actually ask for.
The problem
First builds rarely fail because the idea was wrong. They fail because the team spent its runway before finding out. Three patterns account for most of it.
The build starts from a full product vision instead of the one thing a user would pay for today, and the runway is gone before that thing ships.
Without a way to rank features against evidence, scope is settled by opinion — and every stakeholder has a different one.
A demo is not traction. Without instrumented usage data, there is no case to make in a room where every founder has a demo.
How it works
Three stages, in order. Each one ends with something you can show someone.
A scope you can defend
We map competitor features and user sentiment to work out the smallest build that tests your core assumption — and write down everything deliberately left out of v1.
A build against an agreed scope
A dedicated Nairobi-based pod builds what discovery defined. Cost and timeline follow from that scope and its complexity, so both are quoted once the work is understood rather than guessed at the outset.
Evidence, not a demo
The product ships instrumented. Usage data and structured user feedback come back as the numbers that belong in an investor conversation.
They transformed our manual processes into seamless digital solutions — offline data collection, instant cloud synchronization, and automated professional reporting.
Eng Mathew Arthur
Managing Director, Texas Solutech Kenya
That engagement started small and became a platform carrying 1,000+ audit reports per week.
Read the full case studyFAQ
Both depend on the scope and complexity of what you are building, so we quote once discovery has defined the build rather than publishing a headline figure. Discovery itself is short and gives you a written scope, a timeline, and a cost before any engineering starts.
The smallest version that tests your core assumption with real users. It is not a cut-down version of the full product — it is whichever single thing, built properly, tells you whether to keep going.
Yes. Source code, infrastructure, and documentation belong to you, and the handover is structured so your own team or another agency could continue the work.
Then it did its job, at a fraction of the cost of finding out after a full build. Discovery is designed to surface that as early as possible, and we will tell you when the evidence points that way.
Yes — instrumentation and iteration on what the usage data shows is usually where the value is. Ongoing work is scoped separately once there is real user behaviour to respond to.
Bring us the idea and the constraint. We'll scope the smallest build that proves it.