Who we are.
A Kigali-based AI company. Here's what we're building, where the experience comes from, and what we actually believe.
Rwanda has the policy ambition, the infrastructure investment, and — increasingly — the people. What it still needs is more technical teams that treat AI as an engineering discipline, not a buzzword.
Kenshi.AI was founded by people with direct experience across AI and healthcare. Everyone on our team has at least six years of practical AI work behind them — real systems built and shipped, not academic credits. That's why our first serious project is in medical imaging, where the gap between what AI can do and what African hospitals can access is both wide and consequential.
We're registered with RDB, based in Kigali, and building things we'd stand behind in a clinical setting.
— Kenshi.AI, Kigali
Experience that shaped the work
The people behind Kenshi.AI don't come from one lane. Every team member brings at least six years of hands-on AI work — model development, data pipelines, production systems — and several come from healthcare, including settings where clinical decisions depend on fast, accurate diagnostics.
That crossover is what makes RadiAIx possible. You can't build medical imaging AI credibly from the outside — you need to know a radiologist's workflow, what "good enough" means clinically, and what happens when a system gets it wrong. We've worked where those questions aren't theoretical.
We're not developers who wandered into healthcare. We have roots in both, and we build things that reflect that depth.
Built in Kigali · Intelligence for Impact
Builders, not resellers.
There's a real difference between an agency that deploys someone else's AI tools and a team working at the engineering level — the models, the data, the infrastructure underneath.
We're the second kind. When we take on a project, we build from the ground up, with the constraints of African institutions taken seriously from day one — not as an afterthought.
See Our Services →What we keep seeing
- Organizations collecting data they never properly act on
- Good ideas stuck at concept stage for lack of a technical team
- Imported AI tools that don't fit local workflows or budgets
- Training programs that end with a certificate and no real project experience
The result: Real potential, going unrealized.
What we're doing about it
- Building AI tools designed for how African institutions actually work
- Taking innovators from idea to working prototype
- Running a training environment where people learn on real projects
- Starting with RadiAIx — a concrete problem in the sector that needs it most
We work closely with every organization we take on.
What we're here to do
Build AI that solves real problems in Africa — starting with medical imaging — and develop the local talent that keeps doing this work long after us.
Where we're headed
A future where African hospitals have world-class diagnostic AI, African developers build and maintain it, and the knowledge stays on the continent.
Things we take seriously
Domain depth over surface breadth
We'd rather do fewer things properly than spread thin. RadiAIx is our focus because we have the specific expertise — in AI and healthcare — to build it credibly.
Learning by doing, not by watching
Our training program rests on one conviction: AI skills are built on real projects. The first cohort works on actual engineering problems, with real stakes.
Local context baked in, not bolted on
Infrastructure realities, budget constraints, clinical workflows in Rwandan hospitals — these aren't edge cases we handle later. They're the starting point.
Priced for this market
Good AI work takes real engineering effort. We price it fairly — not at inflated import rates, and not so cheap that corners get cut.
Who we want to work alongside
We're building relationships across Rwanda's innovation and healthcare ecosystems. If you're in any of these spaces, we'd like to know you.
Want to know more? Just ask.
We're based in Kigali and happy to have a direct conversation.
