Pass Pass gives away the entire primary syllabus because it costs nothing per pupil to serve — and that is what puts the app on the phone. The AI tutor and homework scanner do cost money per use, and that is what gets paid for: by sponsors, by the diaspora, and by the families who can afford a few hundred francs.
Product live in production. Class 3–6 English and Mathematics content shipped. Offline PWA working on low-end Android. AI tutor and scanner built, monetisation layer built. Raising to deploy AI at scale and onboard the first school cohort.
Africa has the world's youngest and fastest-growing school-age population, the world's most over-subscribed classrooms, and near-universal mobile phone reach. Those three facts together describe the largest under-served education market on the planet.
Population and enrolment figures are approximate, drawn from published UNESCO and World Bank statistics, and are given as market context only. Everything on this page that concerns Pass Pass's own future performance is a projection, not a result.
Lessons, quizzes and FSLC past papers are free forever. They cost effectively nothing to serve, they are the thing every family wants, and they spread by word of mouth in a market where paid acquisition barely functions. Our customer acquisition cost trends towards zero.
The tutor and the scanner have a real marginal cost, so they carry a price — small, prepaid, in francs, with no subscription trap. The child who cannot pay still keeps the whole syllabus, so the paywall never costs us the user.
Corporates, the diaspora and NGOs buy AI places for pupils who cannot. That converts the poorest segment — normally pure cost — into funded, reportable revenue, and puts sponsor branding on the most-opened page in the app.
| Rail | Payer | Mechanism | Why it holds |
|---|---|---|---|
| Retail AI credit | Families who can pay | Mobile-money top-ups and offline scratch vouchers sold through the same shops that sell airtime | Prepaid, in small amounts, through a habit every Cameroonian household already has |
| Sponsorship | Corporates, NGOs, foundations | Pupil-years bought in bulk, credited on free past-paper packs | CSR budgets exist, need measurable output, and cannot buy children's attention any other way we permit |
| Diaspora giving | Cameroonians abroad | One-off and monthly gifts in hard currency, allocated by region | Large, motivated remittance flows already run to Cameroon every month; this competes on specificity, not on sentiment |
Our dominant variable cost is AI inference, and inference prices have fallen relentlessly. A product whose main input gets cheaper every year, sold in a market whose incomes are rising, has structurally improving margins — as long as you build the distribution now, while it is expensive.
Anyone can call the same AI. What is hard to copy is offline-first engineering on a 1GB Android, a syllabus-accurate content corpus reviewed by local teachers, school relationships built one head teacher at a time, and payment rails that work for people without a card. We are compounding all four.
A sponsored pupil-year sells at roughly 6,000 FCFA (about $10) and is priced off our measured AI cost per pupil plus delivery. Free-tier pupils cost us essentially nothing. So the model does not need a high conversion rate to work — it needs volume, which the free tier is designed to produce.
Marginal cost ≈ 0. Static files from a CDN, cached on the device. A million free pupils do not endanger the company.
Buys AI credit in small prepaid amounts. Gross margin positive on every top-up, with no subscription and no billing risk.
Sold as a pupil-year at a published rate. Predictable, prepaid, and bought in blocks of hundreds rather than ones.
Cost per pupil-year falls each year. We pass it to schools as more sponsored places, and keep the margin improvement on the retail rail.
Each stage is deliberately the smallest one that proves the next. We are not trying to launch in fifteen countries; we are trying to make one region undeniable and then run the same playbook where the playbook already fits.
Offline-first PWA live in production. Class 3–6 English Language and Mathematics content. AI tutor and AI Scan built. Payment and licence layer built. Two mascots, one brand, no ads.
Deploy the AI service, onboard the first cohort of partner schools in the English subsystem, land the first corporate sponsor, and ship anonymous measurement so we can prove learning outcomes rather than assert them. Success is a head teacher who would be annoyed if we took it away.
Scale schools across the English subsystem nationally. Launch retail AI credit through the airtime-vendor network. Add Play Mode and Class 1–2 audio-led learning for pre-readers. Publish the first outcome data.
The French subsystem roughly quadruples the addressable pupil base at home and, more importantly, forces us to build the localisation machinery — curriculum ingestion, translation, local review — that every subsequent country needs. Doing it inside one country first is far cheaper than learning it abroad.
Nigeria and Ghana: same language of instruction, same exam-driven primary culture, vastly larger cohorts, and the same shared-Android reality. This is where the free-content flywheel gets its real test of scale.
Côte d'Ivoire, Senegal, Gabon, Congo — a shared currency zone, comparable curricula, and mobile-money rails we will already understand from Cameroon. The Stage 3 localisation machinery pays for itself here.
Kenya, Uganda, Tanzania and Rwanda — English-medium primary systems with the continent's most mature mobile-money infrastructure. By this stage the product should be curriculum-agnostic: give it a national syllabus and a panel of local teachers, and it localises itself.
The repeatable unit is a country playbook, not a marketing campaign: ingest the national primary curriculum → generate and have local teachers review the content → ship the free tier and let it spread → sign schools region by region → plug in the local mobile-money rail → sell sponsorship to that country's banks and telcos. Everything except the curriculum and the payment rail is already built.
Any investor will find these anyway. We would rather be the ones who raised them.
We believe families will buy small prepaid AI credit the way they buy airtime. We have not yet proved it at volume. Stage 1 exists precisely to test this before we scale anything.
Corporate CSR budgets move on annual calendars. We mitigate with the diaspora rail, which is faster, smaller-ticket and far less seasonal.
A tutor that confidently teaches the wrong method is worse than none. We constrain it to the syllabus, sample and grade transcripts, and keep teachers in the review loop — but this needs permanent vigilance, not a one-off fix.
Possible. But the work is unglamorous — offline engineering for cheap Androids, per-country curricula, head-teacher relationships, cash-based payment rails — and it is exactly the work large platforms have consistently declined to do in these markets.
Some households have no smartphone at all. Offline-first widens the reachable base substantially but does not make it universal. School-level shared-device deployments are the answer we are testing.
Curricula and exam formats change. Our content pipeline is built to be re-ingested rather than hand-maintained, which turns a curriculum reform from a crisis into a release.
We are raising a first external round to get Stage 1 to proof. Amount and terms are under discussion — talk to us and we will send current figures rather than publish a number that ages badly on a web page.
Production hosting for the AI proxy, plus the first year of inference for sponsored pupils. This is the single blocking item today.
Field team to sign and support the first partner-school cohort: launch days, teacher training, parent sessions.
Paid Cameroonian primary teachers reviewing every lesson and pack, plus the Class 1–2 audio-led build and French-subsystem groundwork.
The anonymous analytics and outcome-measurement layer — the prerequisite for both credible sponsorship sales and honest product improvement.
Who we want on the cap table: investors who understand African consumer distribution, education operators, and strategic partners in telecoms or mobile money. If you have distribution into Cameroonian households, that is worth more to us than the cheque.
We built the hard part — an app that teaches the national syllabus offline, on the phones people actually own. Help us put it in front of a continent.
This page is a summary for information only. It is not an offer or solicitation to buy securities, and it is not investment advice. All forward-looking statements are projections and may not be achieved.