AfyaRekod
Active Since 2020HQ Nairobi · Active KE · NG · ZA · TZ · UK11·FUTURE The Journey
A Six-Year Journey · 2020 → ∞ · Doc/0

We built patient-driven healthcare
before the world agreed it
was the only way forward.

AfyaRekod is the story of a thesis held in public for six years — that health data belongs to the patient, that geo-located metadata is the substrate of any real AI in medicine, and that the next pandemic will be detected at a household, not a hospital.
450K+Patients onboarded
300+Hospitals & orgs powered
5Countries active
2020Year of genesis
Filed under: Patient Sovereignty · Climate Health · SafeAI · Mobility-First ArchitectureScroll the journey
01The OriginLagos · Nairobi · 2019—2020
John KamaraFounder · Doc/01John KamaraCEO · 2020—

When my friend died last year, it was because he didn't have his health information with him and got the wrong treatment. It became clear to me that real-time access to your health data is the solution. So I built AfyaRekod — your own health data at your fingertips.

John Kamara · Founder & CEO · AfyaRekod
PRINCIPLE IPatient SovereigntyThe patient is not the subject of healthcare data — the patient is the owner. The hospital is a custodian, not a gatekeeper. Stated publicly, in 2020.
PRINCIPLE IIMobility, not InteroperabilityMost health systems chased interoperability. We chased mobility — the data follows the patient, across hospitals, countries, modalities. The patient is the protocol.
PRINCIPLE IIIGeo-Located MetadataFrom day one, every data point was geo-tagged and time-stamped. Without spatial-temporal metadata there is no real AI in healthcare — only models trained on someone else's geography.
PRINCIPLE IVHealthcare ≠ TreatmentHealthcare happens outside the hospital. Treatment happens in the hospital. AfyaRekod was built to bridge the gap between the two — at the household, the community, the phone in the pocket.
02The BirthMarch—May 2020 · Pandemic Genesis

We launched four months ahead of schedule because the world had run out of time.

In March 2020 the COVID-19 pandemic forced AfyaRekod to compress its launch timeline. The platform was already being built around three radical ideas — patient ownership of records, geo-located health metadata, AI for early detection. The pandemic just collapsed the runway.

By May 2020, AfyaRekod had partnered with Telkom Kenya to roll out a real-time COVID-19 monitoring platform. The platform was hosted in Telkom's local virtual environment, accessible by smartphone via the Google Play Store and — critically — by every feature phone in Kenya through USSD code *380#.

It used blockchain and AI, converted structured and unstructured data using FHIR standards, and visualised infection clusters as heat maps so health workers could see where the virus was moving in real time.

USSD · *380# · LIVE
AfyaRekod · COVID-19*380#1.Self-assessment2.Find nearest facility3.Report symptoms4.My record
Hosted on Telkom Kenya local virtual env.
Reach: every feature phone in Kenya.
Telkom KenyaMoH KenyaFHIRBlockchain
03The Six-Year Track2019—2026 · The Arc

A long line. Held in public.

Each year a thesis was tested in the open — never as a press release, always as a build. What follows is the documented arc, year by year, of what we said and what we shipped.

2019
R&D · Quiet years
Incorporation. The data thesis takes shape.
AfyaRekod is incorporated as an Adanian Labs start-up. The Afya AI roadmap begins with research and development: data mapping, data transformers, deep work on what qualified medical metadata even looks like in African contexts.
0Patients
Conviction
2020
Launch · Pandemic shift
Public launch. Telkom Kenya. *380#. Mombasa County goes live.
Phase I product completed. The Telkom partnership lands the platform on every Kenyan phone via USSD *380#. AfyaRekod monitors the COVID outbreak for Mombasa County. Afya AI begins data processing and feature engineering. Moesha v1 starts taking form.
*380#USSD live
1County onboard
2021
Validation · AI begins
Diary, forms, surveys, disease trackers. The first AI symptom tracker.
AfyaRekod begins onboarding mission clinics under the Association of the Sisterhood of Kenya. Tools shipped: health diary, dynamic forms, disease trackers, vaccine management. Afya AI's first model — a symptom tracker — is deployed inside Moesha v1.x.
UNESCORecognized
v1.xMoesha live
2022
Scaling · Universal Patient Portal
$2M seed. Universal Patient Portal launches in KE, NG, ZA, UK.
Seed round closes with MaC Venture Capital and Next Chymia. The Universal Patient Portal launches publicly — a blockchain-driven mobile health passport. AfyaRekod cements partnerships with GE Healthcare, AOSK (over 500 hospitals network), Healthy Mind Foundation (Nigeria), AURA & Alchemy (South Africa). Featured in Forbes via UNESCO AI Ethics.
$2MSeed raised
150KUsers · Kenya
2023
Growth · The training years
Patient management models. Imaging models. State capacity.
250K users. AfyaRekod expands assessment models, patient management ML, the first imaging models. Selected for the Intel Hackathon and Intersystem program. Begins training the CEOs of Nigerian State Health Insurance Agencies — laying the groundwork for AfyaRekod to become the patient platform across SHIA networks.
250KUsers
27/36NG SHIA CEOs trained
2024
Expansion · Surgical AI
Surgery organ models — skin, liver, heart. B2G push.
450K+ patients onboarded. Afya AI begins shipping surgery organ models including skin, liver and heart. Pathcare partnership signed for 45+ test centres in Kenya. Homabay County becomes first paying government client. Equity offering launched at $40M valuation. Term sheet signed with Oslo University Hospital and Medioteq for Lung & Skin cancer AI in Norway.
450K+Patients
$40MValuation · DCF
2025
Climate · Diabetes · Surveillance
The AI-Climate Healthcare Grid. NCCK MOU — 450 hospitals.
Diabetes model deployed. Afya AI platform with population analysis & surveillance comes online. NCCK MOU signed for access to a 450-hospital network across Kenya. World Bank digital health discussions open. Tanzania Ministry of Health discussions for national data intelligence and surveillance.
450NCCK hospital pipeline
5Countries active
2026 →
SafeAI · Data sovereignty era
SafeAI agents. Patient income from data. Climate-health intelligence at scale.
The thesis matures into infrastructure: SafeAI agents deployed at point of care, patients earning income from consented data, pharma trials run on real-time geo-located cohorts, healthfinance built on top of qualified longitudinal records. The grid becomes the operating system of African healthcare.
Operating system era
Patient sovereignty
Drag horizontally · Six years of public conviction · 2019—2026
04The DoctrinePatient Sovereignty · Data Mobility

Hospitals were never meant to be gatekeepers of you.

"Healthcare happens outside the hospital. Treatment happens inside the hospital."

This is the line we have repeated since 2020 — in podcasts, on stages, to ministries, to investors, to a Kenyan grandmother registering on USSD. It is not poetry. It is the architecture brief.

Most digital health systems were built around the institution: the hospital owns the EMR, the lab owns the result, the pharmacy owns the prescription, the insurer owns the claim. The patient sits at the center of every conversation but the data sits in silos the patient cannot see.

AfyaRekod inverted the topology. The patient becomes the index. The hospital becomes a node. The pharmacy becomes a node. The insurer becomes a node. The CHW becomes a node. Every system in the ecosystem can talk to every other system — but only because they all reference the patient first.

This is the difference between interoperability (systems agreeing to share) and mobility (the patient carrying their record across systems). Interoperability is a treaty between institutions. Mobility is a right held by a person.

PATIENTHOSPITALCHW · CHVPHARMACYINSURERDIAGNOSTICGOVT · MOHFIG. 01 — PATIENT-CENTRIC TOPOLOGYv.2025TOPO: STAR · IDX: PATIENT_UUIDPROTOCOL: HL7 · FHIR
05The StackSix platforms · One spine

One spine. Six surfaces. The patient at the center of every one.

AfyaRekod is not an app. It is a connected set of platforms — B2C, B2B, B2G, plus a community-health layer and an AI engine — bound together by a single patient index and the AfyaRekod Health Data Cloud.

B2B · Hospital LayerFacilities & Practitioners

AfyaCare EHR

A modular web-based EHR / HIS with over 140 modules — from patient management and pharmacy to claims, pathology, vaccine management and AI point-of-care tools. Designed to scale from rural mission clinic to teaching hospital, with seamless interoperability via HL7 / FHIR / IHE.

  • 140+ modules · GE Healthcare imaging integration
  • 300+ facilities live across Africa
  • Multi-facility realtime view · Geo-tagged data
  • Customizable templates · Standardised protocols
CHW LayerCommunity

Health Worker Tool

Mobile + web tool for Community Health Volunteers — digitises NHIF / MOH forms, household demographics, visit summaries and surveillance data. Each CHW becomes a metadata agent on the live grid.

  • Digital forms · Patient management
  • Household management · Public health surveillance
  • 200+ CHWs trained
B2C · B2BMarketplace

Afya Marketplace

Connects healthcare providers to patients actively searching for services in their location. Push notifications, SMS, joint marketing, online appointments and orders — turning the patient base into a discovery surface.

  • Provider visibility · Patient engagement
  • Online appointments & orders
  • Co-marketing infrastructure
B2BInsurance

Insurance Platform

Web-based insurance OS for the entire ecosystem — agents, brokers, hospitals, insurers, valuers, assessors, clients. Underwriting, claims, fraud detection, sales and customer service modules connected to live patient data.

  • Underwriting · Claims · Fraud Management
  • Trained 27 of 36 Nigerian SHIA CEOs
  • Health service provider management
06The EngineAfya AI · Moesha · 2019—

We talked about AI in healthcare in 2021. Now we run the models.

Predictive EngineActive · v3.x
SYMP.INVITAL.INCLIM.INGEO.INPRED.OUT
ID · MOESHA.PE.001SOURCE · LIVE50+ MODELS
Predictive AI Engine · Building since 2019

Moesha

A model that learns the body of a continent.

Moesha is the predictive AI engine inside Afya AI — built across six years of model rounds (v1 → v1.x → v2 → v3) on data we collected ourselves, geo-located, time-stamped, and qualified at the source. Most African AI work begins with a foreign dataset and ends with a foreign answer. We started with the data.

The architecture: a data ingestion layer feeds a metadata annotator; a model selector layer routes requests to the right LLM or classical model; a Multi-Agent System (MAS) coordinates across pods (GPT, BERT, LLaMA, Mistral and our own fine-tuned weights); a response handling layer returns interventions; a data lake retains everything for continuous training.

Underneath sits SMOKE — Stochastic Modeling and Optimization for Knowledge Extraction — handling data imputation, noise reduction and pattern recognition on the messy reality of African primary healthcare data.

Diabetes v2
Hypertension v2
Malaria v3
Cervical Cancer v1
Prostate Cancer v1
Lung Cancer v1*
Skin Imaging v2
Liver Imaging v1
Heart Imaging v1
Stroke Risk v1
Symptom Tracker v3
Outbreak Pred. v2

* Lung & Skin cancer co-developed with Oslo University Hospital and Medioteq from April 2025

07The Climate GridThe Next Frontier · 2025—

The next pandemic is going to be detected in a household, not a hospital.

The AfyaRekod AI-Climate Healthcare Grid is the synthesis of five years of work — a live, geo-linked intelligence layer where Community Health Workers become metadata agents, climate signals overlay symptom clusters, and Moesha runs disease prediction at the village level.

↗ FEVER +32% · 72HRAINFALL Δ +180MMDROUGHT Z3AQI 142FIG.07 · LIVE GRID · MOESHA v3REGION: EAST AFRICA
Red Cluster · Symptom SpikeClimate AnomalyCHW Coverage
SCALE · 1 cell = 100 households

People · Place · Pattern.

A network of 100 CHWs visiting 500 households daily reaches roughly 1,500 people per day. Each visit produces structured metadata — symptoms, vitals, behavioral indicators — and unstructured signals — water source quality, pest infestation, sanitation. Every data point is geo-tagged, time-stamped, and tied to a person on a map.

Overlay that with climate metadata — temperature variability, humidity, AQI, vector ecology, flood and drought patterns — and Moesha can correlate environmental drivers with symptom spikes before either alone would have flagged anything. A red alert cluster appears in 72 hours instead of three weeks.

Red Alert Clusters

Identify rising symptoms (fever, sore throat, headache) across communities — not as totals, as spatial-temporal anomalies.

Environment-Symptom Mapping

Overlay temperature, drought, flood zones, AQI and vector ecology with health symptoms — the climate-health correlation surface.

Micro-Pandemic Identification

Spot localized outbreaks before they become regional crises. The COVID-19 lesson, productized.

Cost Modeling

Compare the cost of treating late-stage disease versus early detection at scale — early intervention can reduce costs 30–70%.

Outbreak Response Time

Geo-linked metadata cuts time from outbreak detection to response from weeks to hours.

08The NetworkFive Countries · A Continent of Partners

We did not build this alone.

KEKenya · HQ
NGNigeria
ZASouth Africa
TZTanzania
ZMZambia
UKUnited Kingdom
Tier 01 · Telco · Govt

Telkom Kenya · The COVID year

The 2020 partnership that made AfyaRekod national infrastructure. Telkom hosted the platform, opened USSD *380# for feature phones, and gave AfyaRekod the reach to monitor COVID for Mombasa County.

  • USSD *380# — feature-phone access
  • Local data residency hosting
  • Mombasa County COVID surveillance
  • Nandi County rollout
Tier 01 · Imaging

GE Healthcare · Imaging integration

Strategic partnership to integrate AfyaRekod into GE imaging equipment — pulling scan/image data directly into the patient portal so hospitals can read the data using AI.

  • Direct image ingestion from GE equipment
  • AI-assisted radiology workflows
  • Point-of-care deployment in primary healthcare
Tier 01 · Hospital Network

AOSK · Mission clinic backbone

The Association of the Sisterhood of Kenya — over 240 hospitals in network, with over 500 facilities reached. AOSK was where AfyaCare EHR matured: digitizing manual mission clinics, training nurses on the platform.

  • 240+ hospitals · 78,000+ patients onboarded
  • Mobility & EHR digitization at scale
  • 45+ hospitals piloting Moesha v1
Tier 02 · Faith Network

NCCK · 450 hospitals · 2025

The National Council of Churches of Kenya MOU signed in 2025 — opening access to a network of 450 hospitals across Kenya. Faith-based healthcare is the largest non-government provider on the continent.

  • 450 hospital pipeline · Kenya
  • Rural & peri-urban primary care focus
Tier 02 · NGO · Hospital Network

Color NGO · Last-mile facilities

Color NGO partnership extending AfyaRekod's reach into a hospital network targeting the last-mile facilities — where data is most absent and where mobility-first architecture pays the highest dividend.

  • Hospital network digitization
  • Health workforce capacity building
Tier 02 · Government · Insurance

NHIA Nigeria · State capacity

From 2023, AfyaRekod has been training Nigerian State Health Insurance Agency leadership — 27 of 36 state CEOs trained. The NHIA partnership is a beachhead into national-scale public health data.

  • 27/36 SHIA CEOs trained · 2023—
  • Patient platform for inter-state mobility
  • 1st Nigerian client: LUTH (Lagos)
Tier 02 · County Govt

Counties · Homabay · Mombasa · Nandi · Bungoma

County governments became the first paying B2G clients. Homabay County signed as first paying government client. Mombasa and Nandi anchored the original COVID-19 rollout.

  • First paying B2G client: Homabay
  • COVID surveillance: Mombasa · Nandi
  • Active discussions: Tanzania MOH
Tier 03 · Research

Oslo University Hospital · Cancer AI

Term sheet signed for an 18-month engagement starting April 2025, co-developing Lung and Skin cancer AI models from Norway with Medioteq. African data science exporting upstream.

  • Lung & Skin cancer co-development
  • Localized Diabetes model (Prof. Otieno · UoN)
Tier 03 · Tech & Cloud

The Tech Stack · The plumbing partners

Microsoft Azure and AWS for hosting and compute. InterSystems for clinical data fabric. The Africa Blockchain Centre and AICE Africa for AI capacity. NVIDIA AI program.

  • Microsoft Azure · AWS · InterSystems
  • NVIDIA AI Program (via AICE Africa)
  • Africa Blockchain Centre · DPC Kenya
09The Foresight LedgerWhat we said · What the world admits

Six years of theses, held in the open.

The hardest test for any technology company is not whether it survives the year. It is whether the world eventually agrees with the things you said before they were obvious. This is our public ledger.

2020We said

"Patients should own their own health records. Hospitals are custodians, not gatekeepers."

NowThe world says

Patient-controlled health data is now a stated objective of WHO digital health strategy, EU EHDS regulation, and most G20 health authorities.

2020We said

"Build for the feature phone first. The patient in a rural village with a Nokia must access their record via USSD."

NowThe world says

USSD-first health platforms are now standard practice in low-bandwidth markets. We launched *380# in May 2020.

2021We said

"AI in healthcare in Africa requires us to collect our own data first. Foreign datasets produce foreign answers."

NowThe world says

Sovereign AI and locally-trained medical models are now central to the WHO AI for Health agenda and the African Union AI Strategy.

2021We said

"Data architecture should be mobility-first, not interoperability-first. The patient is the protocol."

NowThe world says

Patient-centred FHIR architectures and personal health record portability are now the explicit direction of US ONC, EU EHDS, and Africa CDC.

2022We said

"Geo-located metadata is the substrate of any real disease surveillance."

NowThe world says

Spatial epidemiology and geo-tagged disease surveillance are now standard tooling at WHO, Africa CDC, and major public health labs.

2023We said

"State health insurance leaders need structured AI training — they will be the operators of the next generation of health systems."

NowThe world says

National regulators globally are scrambling to upskill on AI governance. We had already trained 27 of 36 Nigerian SHIA CEOs by 2023.

2024We said

"Climate is a healthcare input. Temperature, humidity, AQI, vector ecology — these belong inside the disease prediction model."

NowThe world says

The Lancet Countdown, WHO COP processes treat climate-health integration as a defining priority of the decade.

2025We said

"Patients should be able to earn income from their own health data — with explicit consent, with traceable use."

NowThe world says

Data dividends and consent-based health data monetisation are entering policy debate in the EU, US, and across Africa.

10The Knowledge StackWhat we own that nobody else does

Six years of intellectual property, compounded.

Most healthtech IP is software code. Our IP is software code plus a dataset gathered with explicit consent plus the methodology to produce more of it. This is what we hold.

IP/01
MPODMobile Patient-Owned Data Pod

Our individualised data-pod architecture. Each patient gets their own replicated data pod across our distributed nodes — so that data sovereignty is enforced at the storage layer, not the application layer. The patient's data fails over to the patient, never to the institution.

IP/02
Mobility-First TopologyPatient-as-Protocol

AfyaRekod's topology is star-shaped around the patient — every node communicates through the patient master index. The patient is not a row in a database. The patient is the database.

IP/03
100% Geo-Located DataSpatial-Temporal by default

Since 2020, every data point captured on AfyaRekod has been geo-tagged and time-stamped at the source. 100% of our data has been geolocated — enabling links between Patient, Practitioner, Facility, and Place.

IP/04
SMOKEStochastic Modeling and Optimization for Knowledge Extraction

Our internal data processing layer for the messy reality of African primary healthcare records — handling data imputation, noise reduction, and pattern recognition.

IP/05
Moesha EngineMulti-Agent Predictive AI

A live predictive engine running 50+ disease models, integrating GPT, BERT, LLaMA and Mistral in a Multi-Agent System (MAS) network with our own fine-tuned weights. Built since 2019, shipping since 2020.

IP/06
The Climate-Health Correlation LayerEnvironment as a clinical input

Methodology and pipelines that overlay temperature, humidity, AQI, vector ecology, flood and drought patterns onto symptom and patient data — producing correlation models nobody else in African healthtech is producing at this scale.

IP/07
CHW Meta-Data NetworkLast-mile data fabric

A trained network of Community Health Workers operating as metadata agents — collecting structured symptom, biometric, household and environmental data from 500 households per 100 CHWs per day.

IP/08
Multi-Channel ReachSaaS · iOS · Android · USSD · Voice

A patient platform that runs on a teaching hospital's web SaaS, a doctor's iPad, a CHW's Android, and a grandmother's Nokia 105 via USSD. Solved in 2020 and refined since.

IP/09
Compliance PostureWHO · DPA · GDPR · ISO 27001 · HIPAA · NVIDIA AI

Endorsed adherence to WHO Health Data Governance Principles. Active compliance with Kenya DPA 2019, EU GDPR, US HIPAA. ISO/IEC 27001. The unglamorous IP — but the IP that closes deals with ministries.

11What Comes NextSafeAI · Patient Income · Health Finance

The next decade is SafeAI in healthcare — and it begins where we have already been working.

AI in healthcare without consent is surveillance. AI in healthcare without geography is hallucination. AI in healthcare without the patient is theft. SafeAI means binding the model to all three.

FUTURE/01

SafeAI Agents at the Point of Care

Moesha matures into a constellation of SafeAI agents — bound by patient consent, traceable in their use of data, auditable in their recommendations. The agent is a clinician's tool, not a clinician's replacement.

FUTURE/02

Patient Income from Data

A patient who owns their data should be able to license that data — with explicit consent — and receive value back. Data dividends as a real income line for African households.

FUTURE/03

Pharma Reinvented

Real-time tracking of drug usage and adverse events across geo-located cohorts — enabling truly personalised clinical trials, real-time pharmacovigilance, and inventory management calibrated to actual disease burden.

FUTURE/04

Health Finance

Insurance pricing built on actual longitudinal patient data, fraud detection on geospatial signals, claims processing automated against verified records — and microinsurance for the rural household.

FUTURE/05

Rural Healthcare at Scale

The 65% of Africans who live in rural communities are the market. The CHW network, USSD, mobility-first architecture were all designed to make rural primary healthcare a first-class system. This is where the next generation is built.

FUTURE/06

Continental Surveillance Operating System

An operating system for African public health — adopted at county, state, and national level, plugged into Africa CDC and WHO AFRO data flows, capable of detecting micro-pandemics in 72 hours. The work of the next decade.

12The Closing

The patient is the protocol.
The household is the hospital.
The phone is the portal.

We started AfyaRekod in 2020 because a friend died from a missing record. Six years later we have built the substrate of a patient-driven healthcare system across five countries, trained the leaders of public health agencies, deployed AI models that work on data nobody else collects, and proven — in counties and clinics and Nokia keypads — that the future of African healthcare is mobile, geo-located, AI-native, climate-aware, and held in the hands of the patient.

We have not been the loudest. We have been the most consistent. The thesis we wrote in 2020 is the thesis we ship in 2026. The conviction has not shifted. Only the world has caught up.

We are on a journey to digitise healthcare across Africa.
The journey continues.

John KamaraJohn KamaraFounder & CEO
Bendon MurgorBendon MurgorCo-Founder · CTO
Irene KiwiaIrene KiwiaCo-Founder
Dr. Ronald HarrisDr. Ronald HarrisCo-Founder · Board