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EdTech for tech entrepreneurship

Build AI products
that people pay for.

A five-phase programme for engineers who want to ship real AI products with real users — built in Nairobi, drawing talent from across the continent.

4
Cohorts completed
42
MVPs shipped
9
Products with paying users
6
Sectors covered

From zero
to deployed and paid.

Five phases. No shortcuts. Every phase builds on the last until you graduate with skills, a product, and traction.

01START
Engineering Core
Programming fundamentals, algorithms, and systems thinking — built to the standard that FAANG engineering interviews actually test.
02AI
AI Curriculum
LLM engineering, ML pipelines, and production deployment. You build real AI systems with real constraints.
03BUILD
Niche Product
Pick a sector, validate a pain point, ship an MVP. You leave this phase with real users giving real feedback.
04REVENUE
Launch & Scale
Turn users into customers. Graduates show receipts — paying customers, not projections.
05FOUND
Co-found
Top graduates are matched with co-founders. You form a team, sharpen the product, and enter the incubation pipeline.

The methodology behind
every product we ship.

Not a curriculum. A repeatable six-step system for building AI products that real users pay for — from first principle to scale.

01

Problem Discovery

Sector-specific pain point identification. No imaginary users. No solutions looking for problems. Real people with real friction, documented with data.

02

Technical Blueprint

AI architecture designed before the first line of code. LLM selection, data pipeline design, API surface, cost structure, and compliance considerations.

03

MVP Sprint

Four weeks from blueprint to deployed product with real users. No slide decks count as progress. If it isn't live, it doesn't exist.

04

First Revenue

The goal isn't to ship — it's to charge. The first paying user is the first real proof that the pain is worth solving and your solution works.

05

Iteration Loop

Weekly sprints driven by real usage data. Models improve every cycle. The product earns its next version — or the team finds out why it isn't.

06

Scale Architecture

MLOps, growth engineering, and business model stress-testing. From 10 paying users to 10,000 — without the infrastructure or unit economics breaking.

Why it works: You cannot advance to the next step until the previous one is verified by real user behaviour. Most programs skip validation. This framework makes it structurally impossible.

Four cohorts in.
Here is what happened.

42
MVPs shipped
Across four cohorts — each one solving a problem that existed before the product did.
9
Products with paying users
Revenue before graduation. The bar is a paying customer, not a demo.
4
Cohorts graduated
A deliberately small programme. Every cohort ships. We do not grow faster than quality allows.
6
Sectors covered
AgriTech, HealthTech, Fintech, Logistics, EdTech, HR — problems that matter across East Africa.

Problems worth solving.
Built by our engineers.

A sample of products built across our cohorts. Each one started with a real problem, a real user, and a fixed deadline to ship.

AgriTechCohort 2

Crop disease detection

Identifies crop diseases from a phone photo. Built for smallholder farmers who have no agricultural extension officer nearby.

Built in Cohort 2
HealthTechCohort 1

Clinic triage assistant

Helps under-resourced clinics prioritise patients before a doctor is available. Designed around the workflow of real nurses.

Built in Cohort 1
FintechCohort 3

Alternative credit scoring

Uses M-Pesa transaction history to assess creditworthiness for people who have never held a formal bank account.

Built in Cohort 3
LogisticsCohort 2

Cross-border freight router

Optimises routes and loads for trucks moving goods across East Africa. Built after talking to 40+ drivers and clearing agents.

Built in Cohort 2
AgriTechCohort 3

Produce price forecaster

Tells farmers what prices to expect at different markets before they travel. Trained on historical price and weather data.

Built in Cohort 3
HR & HiringCohort 4

Technical skills verifier

Helps African tech companies assess candidates beyond their CV. Built because our own graduates kept losing to résumé screening.

Built in Cohort 4

Two tracks.
One standard of excellence.

AI Product School

Build and ship AI products — from engineering foundations to a product with paying users.

Cohort-Based
Live weekly sessions, peer accountability, Demo Day
Self-Paced
Learn on your schedule, same curriculum, same standard
$49 / mo
Students
$149 / mo
Professionals
  • Full 5-phase journey from foundations to launch
  • LLM engineering, MLOps, system design
  • Labs access — GPU compute, real datasets, weekly sprints
  • Co-founder matching and incubation pipeline
Enrol Now

Technical Writing

The engineers who can document AI become indispensable.

Cohort-Based
Peer reviews, writing sprints, structured cohort
Self-Paced
Work through modules at your own pace, lifetime access
$299
Foundational
$599
Standard
$999
Advanced
  • API documentation, model cards, AI release notes
  • Docs-as-code: Git, Markdown, CI/CD pipelines
  • Developer experience strategy and content architecture
  • Portfolio of real documentation work
Enrol Now

Transparent.
No fine print.

All prices in USDMembership is one-time. Programs are per cohort.
ProgramStudentsProfessionalsFormat
Lifelong Membership$15$29One-time
AI Product School$49 / mo$149 / mo3-month cohort
Technical Writing — Foundational$299$9993-month
Technical Writing — Standard$599$1,9993-month
Technical Writing — Advanced$999$2,9993-month

Apply. Build something real.
Ship it with paying users.

The graduation bar is a paying customer — not a presentation, not a demo. Join a cohort or work through the curriculum at your own pace.

Apply Now Talk to us first