The AI & security backbone for African healthcare.
Proven commercially in the UK. Deployed where the need — and the whitespace — is greatest. Built in Windhoek as the hub for every venture we run across SADC.
Raising
$1M seed
Min close $600k · SAFE/equity
DocAid waitlist
0
$0 paid acquisition
Organic matches
0
MediMatch, pre-launch
CVEs found by Sentry
0
in one major-bank scan
Funded AI startups in Namibia
0
First-mover, uncontested
Why now
The largest AI whitespace left on earth.
Africa's AI market compounds at 27.4% a year — yet in the entire history of the continent, only 159 AI startups have ever raised funding, 90%+ of it in five countries. Namibia has zero. We take UK-proven execution to a market with no incumbent to beat.
AI startups ever funded, Africa
0
vs ~18,000 in the US alone
Cumulative funding, all-time
$0M
< one mid-size US Series C
Share held by top 5 countries
0
Namibia & most of SADC: untouched
Potential GDP impact by 2030
$0T
Across Africa's economy
Africa AI market size
US$ billions · Mastercard, 2025
$4.5B
$16.5B
20252030 (proj.)
▲ 3.7× in five years · 27.4% CAGR
Sources: Mastercard, “Harnessing the transformative power of AI in Africa” (2025) · StartupList Africa AI funding census (Jun 2025) · SAP Africa / AI4D $1.5T estimate (2025).
The problem
One country. Two compounding crises. Every number is a customer.
Healthcare access
Doctor : patients
1 : 0
1 specialist per ~5,000 people
Specialist posts vacant
0/230
8 specialties have exactly one doctor
Vacant MoHSS posts
0
of 19,976 — 46% unfilled
Have medical aid
0
83% queue blind in public care
Cyber exposure
Cyber events, one quarter
0
+549,556 vulnerabilities (NAM-CSIRT, Q2 2025)
Telecom Namibia leak
0k+
files leaked, Dec 2024 — incl. govt officials
Avg healthcare breach
$0M
costliest industry 14 years running
Days to contain
0
5 weeks longer than any other sector
Health systems this stretched digitise out of necessity — and every system digitised without security is a breach in waiting. We sell the fix for both, to the same buyers.
Sources: MoHSS 2022 workforce report via The Namibian · NAMFISA via The Namibian · NAM-CSIRT via Ecofin Agency (2026) · The Record (Dec 2024) · IBM Cost of a Data Breach 2025.
Sequenced, not parallel: revenue products first (Sentry, MediMatch, services), platform products staged as capital and pilots land — one team, one buyer network, four expressions of the same engine.
Traction
All of this happened in our first month of operating.
DocAid waitlist
0
≈ 1 in every 2,500 Namibians — signed up pre-launch, purely organic
MediMatch matches
0
Made while the doctor side of the marketplace is still being built
HospitalOS pipeline
0 hospitals
In active pilot discussions for the facility operating layer
Revenue · month one
Doctors paying
Supply side pays to affiliate with MediMatch — willingness-to-pay proven before clinics are even approached · £ volume TBC
Why this matters to investors
In ~30 days of operations: doctors paying real money to join the marketplace (the side that's hardest to win, won first), a waitlist that's the per-capita equivalent of ~135,000 US signups at $0 CAC, 4 matches made, four hospitals at the table for HospitalOS, and Sentry surfacing 5 CVEs inside a major bank (more in coordinated disclosure). That's not traction — that's velocity. The round buys fuel, not proof.
Waitlist growth
DocAid signups, organic
Illustrative curve — monthly split available in data room
Market
Namibia is the beachhead. SADC is the prize.
TAM · Africa digital health '30
$0B
23.4% CAGR from $3.8B (2023)
SAM · SADC share (est.)
~$0B
≈25% of Africa's population sits in SADC
Beachhead · Namibia
0M
people · $0 funded AI competition
SADC states
0
shared regulatory DNA
SADC population
0M+
~$721B combined GDP
SSA facing access barriers
0M
the demand behind telehealth's 43% share
Small enough to win completely; connected enough to matter. Win Namibia → replicate through one hub, 16 markets.
Sources: Grand View Research, Africa Digital Health Market · SADC Investment Portal · SAM = founder estimate from SADC population share; full model in data room.
The data moat
African health data barely exists. Whoever builds it first owns the model layer.
Global AI is trained on data from somewhere else: Africa carries 25% of the world's disease burden but produces ~1% of its health data — so imported models underperform here. Every match, consultation, wait-time and scan on our platform builds the dataset that makes our products structurally impossible to replicate from abroad.
Global health data from Africa
~0
vs 25% of global disease burden
World's health workers in Africa
0
scarcity makes every data point more valuable
Regional competitors with this data
0
first mover = only mover, for now
The regulatory window
GDPR-mature markets take years of compliance drag before a startup can collect a byte. Namibia's data-protection regime is still being written — we can build consented, GDPR-grade datasets today, help shape the incoming rules, and be the compliant incumbent the day they land. The window closes as the law arrives; the moat is being early AND clean.
Sources: “Artificial intelligence in global health: An unfair future for health in Sub-Saharan Africa?” (PMC, 2025) — ~1% of global health data African-origin, 25% disease burden, 3% of health workforce · DLA Piper, Namibia data-protection status (Mar 2026).
Regulatory tailwind · Sentry
Compliance demand is being written into law right now.
Namibia is standing up its first national cyber regime — and thousands of SMEs, clinics and public bodies with no security function at all will need an affordable answer. Sentry is built to be the default one.
Proof it works
0 CVEs
found by Sentry in a major bank's infrastructure — coordinated disclosure in progress; more findings queued
Max platform penalty
N$0M
under the Cybercrime Bill 2026
Cyber events / quarter
0k
detected nationally (Q2 2025)
Africa's rank, attacks/org
#0
highest weekly average of any region
Namibia's cyber-law pipeline
Three instruments, one direction — mandatory obligations
Every step forward in this pipeline is a sales trigger for Sentry — before enforcement even begins.
Sources: NAM-CSIRT / CRAN national guidelines (Apr 2026) · Namibia Cybercrime Bill 2026 draft & parliamentary coverage · DLA Piper, Namibia (Mar 2026) · Check Point regional data.
Business model & projections
Four recurring lines, one path to ~$1.4M ARR.
MediMatch
Take rate per filled shift + facility subs · B2B
DocAid
Freemium + B2B licensing · B2C + B2B2C
HospitalOS
SaaS per facility + patient premium · B2B + B2C
Sentry
Tiered monitoring → compliance · B2B SaaS
Cost advantage
0–3×
runway per $ vs London / Cape Town
Cross-sell
0×
one facility, four revenue lines
Gross margin target
0
software-led, at maturity
Revenue projection — base case
US$ thousands · illustrative founder model · full model in data room
$60k
$420k
$1.4M
202620272028
MediMatchDocAidHospitalOSSentryServices
▲ ~23× in 24 months off a deliberately small base — Sentry & MediMatch lead, platform products compound
Note: Projections are illustrative founder estimates for discussion, not forecasts; assumptions and sensitivity analysis available in the data room.
De-risked, with receipts
Every classic seed risk, answered by a number we already have.
Market risk
Paying activity via Stripe + 1,200 waitlisted + 4 matches + 4 hospitals in pilot talks — demand demonstrated on every product front, at $0 CAC.
Execution risk
Commercially validated in the UK (Everyme Labs) — the founder has already shipped and sold in a market 100× more competitive.
Regulatory risk
We build to GDPR standard before the law requires it — incoming bills become a moat for us and a wall for followers, not a threat.
Competition risk
0 funded AI startups in Namibia, and a proprietary-dataset flywheel that compounds with every user — the lead widens by itself.
Capital risk
2–3× runway per dollar vs London/Cape Town, plus non-dilutive services revenue flowing today — the round stretches further here.
Concentration risk
4 products, 4 revenue lines, 2 sectors (health + security) sold to overlapping buyers — no single point of failure in the model.
What the seed actually buys: distribution against demand that already exists — the riskiest parts of a normal seed round are already behind us.
Team
UK-proven execution, on the ground in Windhoek.
BS
Benjamin Sangwa
FOUNDER & CEO
Founder of Everyme Labs (UK) — built and commercialised products in one of the world's most competitive markets. full bio TBC
+
Co-founder / key hires
PENDING
names · roles · credentials TBC
+
Advisors
CLINICAL · REGULATORY · REGIONAL
advisor names TBC
The edge
In a market this early the moat isn't code — it's trust and relationships: regulators, facilities, doctors. We're building them in person, in Windhoek, while competitors don't yet know the market exists.
The ask
US$1M seed · min close $600k. 24 months to Series-A-ready.
Q3–Q4 2026
DocAid live to 1,200 waiting · MediMatch both sides open
H1 2027
HospitalOS in first facilities · Sentry compliance tier
H2 2027
Multi-product revenue · national partnerships
2028
First SADC expansion market from the Windhoek hub
Benjamin Sangwa · Founder & CEO ben@bennd.tech · bennd.tech · Windhoek, Namibia
Use of funds — interactive
Anchored at $1M · drag to see the $600k min-close and upsized plans