We turn datainto action.
Kenshi.AI is a Kigali-based AI company. We help organizations make sense of their data, build AI-powered products, and grow the technical talent to sustain it — right here in Africa.
Registered with RDB · Kigali-based team · AI & Healthcare expertise
Most African organizations already hold what they need to make better decisions. They just can't reach it yet — turning raw data into real insight takes technical depth that's been hard to find locally.
Our team has built AI in engineering and healthcare — places where getting something wrong has real consequences, and where good data infrastructure saves time, money, and sometimes more than that.
Three things we do well.
We don't try to do everything. These three areas are where we focus — and where we can genuinely help.
Data Analytics & Automation
Your data is telling a story — we help you read it, then act on it. Clean pipelines, dashboards your team will actually use, and models that flag what's coming before it arrives. If you've been running on gut feel when you could be running on evidence, this is where we start.
How we do it →Idea to Working Product
You have an idea for an AI product but not the team to build it. We've been on both sides — business and technical. We assess whether the idea holds up, scope a first version, and build it with you from code to deployment.
How we do it →AI Training & Talent
People learn AI here by working on real projects — not by watching videos or collecting certificates. Our first cohort launches this summer, and we also design in-house programs for teams. The goal: skills your people can use the next day.
How we do it →What "data analytics" actually means for your organization
It rarely starts with machine learning. It starts with a spreadsheet that got out of hand, a report that takes three people a week to run, or numbers nobody trusts because everyone's pulling from a different source.
We've seen it, and we fix it methodically. Clean the data first. Build reliable pipelines so you're not redoing it next month. Then the intelligence layer: dashboards that show the right things to the right people, predictive models that give you a head start, and automation that removes the manual work your team shouldn't be doing.
We don't promise transformation in a week. We promise work that holds up.
See our data services →Data pipelines
Reliable, automated collection so your data stays current and trustworthy.
BI dashboards
Designed for the person who'll use it daily — not the person who commissioned it.
Predictive analytics
Models that flag what's likely coming — demand, risk, churn, anomalies — with time to act.
Process automation
The repetitive manual steps your team does by hand — we build the system that does them instead.
The training program is not a side project.
We're building it as a pipeline — because the best proof that we know AI is producing people who can do it too.
The first cohort starts this summer: university students, recent graduates, and professionals moving into AI, all working on real projects with real data alongside our team. Not a mock environment. If it's good enough, it ships.
We also run training inside organizations. If your team needs to understand data and AI at a working level — practically, not conceptually — we build and deliver that program for you.
Register interest →
Learning by building — not by watching
We practice what we pitch — RadiAIx
We tell organizations we can build AI products. RadiAIx is the proof — an AI-assisted medical imaging platform for African hospitals, built to flag urgent brain scans faster where specialist radiologists are scarce. Built on our own expertise, for a problem we understand technically and clinically.
Read about the project →Ready to work together?
A data problem, a product idea, or a team to upskill — reach out directly. We reply personally to every message.
Why being from here changes the work
We know the infrastructure
Connectivity gaps, hardware limits, budget realities — we design for what actually exists in African institutions, not what exists in a US data center.
Experience where it counts
Our team's background spans AI engineering and healthcare. We've worked where getting the data wrong has real consequences — and it shows in how carefully we build.
We build capacity, not dependency
Train someone and they stay. Build something and we document it properly. The goal is your team running these systems — not needing us forever.
Priced for this market
No inflated consulting rates imported from abroad. We work at prices that make sense for Rwandan and African organizations — without cutting engineering corners.
Let's have a real conversation.
Tell us what you're working on. We'll be straight about whether and how we can help.
