Reducing the cognitive load on doctors across Africa.
We build the infrastructure around medicine — learning, practice, billing, communication — so it works for the clinician, not against them. From the day a doctor starts studying for their specialist exams to the day they run their own practice.
- Registrars studying today
- ~80
- Practice questions
- ~900,000+
- CMSA tracks
- 100+
- Doctors in Africa
- ~1.5M

- Live in South Africa
- POPIA-aligned
- Mapped to CMSA syllabi
- Mobile-first + offline
- Expanding to East & West Africa
- Built in SA

Africa's doctors carry a cognitive tax that was never theirs to bear.
Fragmented exam prep
Registrars preparing for the CMSA, COSECSA, or NPMCN study from outdated notes, scattered PDFs, and WhatsApp groups — in whatever hours a full clinical week leaves them.
Paper-era practices
Scheduling, billing, medical aid claims, patient follow-up, and compliance run on paper.
The doctor absorbs the gap
Every inefficiency lands on the same person. The doctor becomes the admin, the billing clerk, and the IT support — at the cost of their patients, and their own life.
Three products. One continuum.
The same problem at three stages of a doctor's career. The registrar learning on Learn today becomes the specialist whose registration Lens watches, and then the practice owner running their rooms on Loop.
| Product | What it does | Read more |
|---|---|---|
| Learn/learn | Structured exam prep for the next generation of specialists. Adaptive curricula mapped to each exam syllabus — CMSA today, COSECSA and NPMCN next. Formative assessment with detailed clinical reasoning. Short sessions, mobile-first, offline-capable, built around a clinical schedule. | Explore Learn |
| LensNew/lens | Compliance standing, watched for you. Lens reads your HPCSA registration and PCNS practice number on the public registers about twice a month, and tells you when one of them changes. Free forever for South African doctors — read-only, never acting on your behalf. | See how Lens works |
| Loop/loop | AI-native practice management for African realities. Scheduling, clinical documentation, billing, medical aid claims, patient communication, and compliance — handled by AI, confirmed by the doctor. Built for mixed cash-and-medical-aid billing, multilingual patients, and practices of one to five doctors. | Discover Loop |
The same doctor, four times.
Today’s registrars become tomorrow’s specialists — and tomorrow’s specialists become the mentors and content contributors for the next cohort.
01
Registrar
Studies on Learn between ward rounds, commutes, and night shifts.
02
Specialist
Passes the boards. Lens keeps watch on their HPCSA registration and practice number from then on.
03
Practice owner
Runs their practice on Loop — the system carries the operational load.
04
Mentor
Becomes a content contributor and reviewer for the next cohort.

The exam pipeline is a bottleneck. The practice environment is a drain.
Every registrar who fails or delays is a specialist the continent does not get. Every specialist who burns out on administration is clinical capacity lost. The AI moment makes it economically viable to build personalised, intelligent tools at African price points — for the first time.
We have not found a tool built for the whole arc — exams, then practice. So we are building one, starting with the exams.
- ~1.5M
- Doctors in Africa
- A continent of clinical talent working against systems never designed for them.
- 100+
- CMSA tracks on Learn
- Covering the major colleges first, then East and West Africa.
Held to the standards doctors are held to.
Curriculum alignment, clinical review, and where the data lives are the parts of this that cannot be taken on trust. So we publish them.
- Exam alignment
- Content is mapped to the CMSA syllabus today. COSECSA and NPMCN follow as we expand into East and West Africa.
- Clinical review
- We are seating a Clinical Advisory Board of practising specialists and registrars to review model output and guideline coverage, independently of the product team. Members will be named as seats are confirmed.
- Data residency
- Application data and backups are hosted in AWS af-south-1 (Cape Town). Model inference currently runs on GPU capacity in the United States. Every provider and the country it operates from is listed in our sub-processor register.
- Privacy
- POPIA-aligned handling throughout, with a signed Data Processing Agreement available on institutional contracts.
- Where it runs
- Mobile-first and offline-capable, for intermittent connectivity, shared devices, and a clinical schedule rather than a student one.