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.
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.
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.
Not projections.
Proof.
Products with real users.
Built by our engineers.
These aren't demos or prototypes. They're deployed, revenue-generating products built inside TechOps Hub programs — with paying users in the real world.
CropSense AI
Crop disease detection from a single phone photo. 4-second results. No internet required.
MediTriage
AI patient triage for under-resourced clinics. Cuts critical case wait times by 40%.
LoanIQ
Alternative credit scoring from M-Pesa transaction data — for the 80% with no formal credit history.
FreightBrain
Route and load optimisation for cross-border freight. Reduces empty-run costs across East Africa.
AgroPrice
Real-time crop price forecasting so farmers know what to expect before they leave for market.
TalentMap
Skills-based talent matching for African tech teams. Beyond the CV. Beyond the bias.
Two tracks.
One standard of excellence.
AI Product School
From zero background to world-class AI engineer and product founder.
- 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
Technical Writing
The engineers who can document AI become indispensable.
- 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