Ship AI products.
Leave with paying users.

A shipped product

Real users, real feedback, real metrics. Not a localhost demo.

AI/ML engineering skills

LLMs, RAG, fine-tuning, MLOps — the stack behind the world's best products.

Demo Day exposure

Present to investors, professionals, and potential co-founders.

Career or startup path

Job placement support or startup incubation — your choice.

AI-native curriculum

AI is the core. LLMs, RAG, fine-tuning, production from day one.

Ship to real users

You finish with a deployed product, real users, real metrics.

Demo Day with investors

Live Demo Day. Angels, VCs, and industry leaders — not a practice run.

Career + startup track

Two paths: job at a top tech company, or incubation support. You choose.

FAANG-grade standards

Built by engineers from Google, Meta, and top African tech companies.

Product Workspace

Your startup's working space — vision doc, feature roadmap, user feedback log, and shared co-founder access. Keep your whole team aligned and shipping.

User Metrics

Live view of signups, weekly active users, session length, and retention. Connected directly to your product — know your exact numbers before Demo Day.

Demo Day Prep

Countdown to your intake's Demo Day, pitch deck draft, rehearsal booking calendar, and a checklist of every question investors are likely to ask.

Investor Intros

Post-Demo Day warm introductions to matched Venture members. Track which intros are sent, who responded, and next steps in your pipeline.

• → React + Next.js
• → FastAPI / Node.js
• → Databases & auth
• → Cloud deployment

• → LLM engineering & RAG
• → Fine-tuning & alignment
• → ML pipelines & MLOps
• → Production AI systems

• → User research & validation
• → MVP architecture
• → Onboarding & acquisition
• → Real user feedback loops

• → Revenue and monetisation
• → Pitch deck preparation
• → Demo Day presentation
• → Investor Q&A readiness