Case studies
Three engagements, three shapes of work: a platform we own and operate, a client product we shipped, and a build we scoped end-to-end.
blENDe Co — a consumer platform for everyday Zambian decisions
The problem
Zambians make high-stakes decisions — which job to apply for, where to borrow, what things should cost — with scattered, stale information.
What we built
A multi-product platform: a jobs board refreshed daily from LinkedIn and local job sites, with AI-assisted search; a borrowing comparison tool for publicly advertised financial products; and retail price data products.
Why it matters to you
We operate this ourselves — payments, subscriptions, data feeds, admin console, uptime. When we build your platform, it's with the habits of people who run one.
A planning companion with an AI that acts
The brief
Take a founder's vision — a beautiful, feminine life-planner for busy Zambian women — from prototype to a real product: tasks, habits, savings goals, cycle tracking, meals and spending in one place.
What we did
Built the full web app from a bespoke design system, then shipped an AI assistant that reads the user's planner and takes actions on her behalf, always asking first. Tested for quality, security and accessibility before every release.
Where it stands
Live with users, and now moving to monetisation: we prepared the paid-tier strategy — paywall model, pricing hypotheses and willingness-to-pay testing — alongside the code.
From concept note to buildable plan
The brief
An entrepreneurship organisation wanted a digital platform to take women-owned small businesses from informal operations to bankable businesses — without becoming a lender itself.
What we did
Ran structured discovery against their concept note, then delivered the full pre-build package: a written product plan, a business readiness scoring model, a clear picture of how the platform earns, and a phased, costed build plan — in both technical and plain language.
Why it matters
Every open risk — regulation, data protection, payment rails, content sourcing — was surfaced before a kwacha of build budget was committed. That's what paid discovery buys.