Health . Access . Everyday
The health graph for Cameroon.
One platform connecting pharmacies, doctors, patients, and the family abroad who pays for their care. Every need becomes one care episode that travels across the apps, verifies itself, and settles in a single ledger.
Getting the right medicine is a scavenger hunt
The pieces exist. Pharmacies, doctors, mobile money, a diaspora that wants to help. None of them are connected.
1 in 4
essential-medicine requests in Douala go unfilled at the first pharmacy
Stock is invisible across the street, let alone across the city. Patients walk from counter to counter while a pharmacy two sectors away has the box.
No rail
connects a prescription to the pharmacy that fills it
Paper scripts are copied, photographed, and re-keyed. There is no way to tell a real prescriber from a forged one at the point of sale.
$4B+
in yearly diaspora remittances, none of it buying medicine directly
A daughter in Paris sends cash and hopes. She cannot pay a Douala pharmacy, see the order, or know it was delivered.
One episode, moving across every actor
A patient consults a doctor. The doctor issues a signed, self-verifying e-prescription. It routes to the nearest pharmacy with stock. A sponsor abroad pays. Delivery is tracked. Ops sees the whole thing as one timeline. No re-keying, no verification bottleneck.
Consult
Doctor
e-Prescription
Self-verifying
Routed
Nearest pharmacy
Paid
Sponsor abroad
Delivered
Tracked
The care episode
One object: a patient need enters once and routes through consult, prescription, order, payment, and delivery. Every actor sees the same episode in their own app.
Self-verifying prescriptions
An e-prescription issued inside the graph by an NODC-verified doctor needs no review. It flows straight into fulfilment. Uploaded external scripts route to a fast ops queue.
One split-payout ledger
A single collection settles to whichever nodes delivered value: the pharmacy in XAF, the doctor their consult fee, the platform its margin. The payer is decoupled from the patient.
Live inventory and demand
Every search and every stockout in a catchment is captured. Pharmacies see the slice for their area; the network sees all of it.
This prototype
The graph is already whole. The demo proves it end to end.
- Sign in as a pharmacy, doctor, patient, sponsor, or ops
- A doctor issues an e-prescription and it appears in the pharmacy console live
- A Paris sponsor pays by international card; the pharmacy is paid in XAF
- 90 days of generated operating history: orders, inventory, garde rotation, demand
- Bilingual, mobile-first, installable as a patient PWA
- Every integration is a mock adapter with the real interface, behind one flag
Why it compounds
The demand dataset
Every unmet request, by drug, by sector, by hour. It tells a distributor what to import and a pharmacy what to stock. It is the most defensible asset in the stack and it only exists once the network runs.
The verified-provider graph
Pharmacies, doctors, labs, and hospitals as verified nodes reconciled against national registries. New actor types are a role flag and a subdomain, never a rebuild.
The settlement layer
Mobile money, domestic card, and international card in; split payouts out. Once money moves through it, switching cost is real for every party.
Douala first, then the region
The activation ladder is deliberate. Win one dense cluster, prove the unit economics, then repeat. Cross-border settlement is built in from day one, so expansion is configuration.
Now
One Douala sector cluster
Akwa, Bonanjo, Bonapriso and neighbours. Pharmacies first, then doctors on the same graph.
12 months
Douala city-wide
Full garde coverage, lab and hospital rungs activated, the demand dataset sold back to distributors.
Beyond
Yaounde, then CEMAC
The same graph, region by region. Cross-border settlement is already the model, not a migration.
The ask
A build budget takes this from a clickable prototype to a live network in one Douala sector cluster: real pharmacy onboarding, the payment adapters wired to Flutterwave, a courier integration, and the ops team to run garde coverage. The commercial question is answered here. The remaining question is execution.
Product
Harden the adapters, ship the doctor and lab rungs, real auth and roles.
Supply
Onboard the first cohort of pharmacies and verified prescribers by sector.
Operations
Garde desk, delivery partner, and the demand dataset as a B2B product.