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PolyHealth · investor brief

The operating system for connected care.

Most health software digitises one building. PolyHealth connects the whole network: hospitals, clinics, pharmacies, labs, community health workers, insurers, and equipment vendors, so a referral is a message and the record follows the patient. Built for the markets the incumbents skipped, aligned with WHO standards, in 35 languages, with payments and a patient bot that already meet people on WhatsApp.

The opportunity

A continent of care that does not yet talk to itself.

Across Africa, care is delivered by a patchwork of facilities that cannot see each other. A patient referred from a clinic to a hospital arrives with a phone call or a paper form, if anything at all. The systems that exist were built for single facilities in wealthy markets, in one language, with no idea the rest of the network exists. The opportunity is the layer that connects them, and it does not exist yet.

1.4B
people across Africa, served by fragmented systems
29
facility types, from referral hospital to community health worker
13
named, role-scoped AI agents on the platform
35
languages, with 54-country localization
1
record that follows the patient, everywhere

The wedge

We start where no one else does: the connection between facilities.

A single electronic record is a commodity. The defensible product is the one that answers "where did my patient go, and what happened to them?" PolyHealth owns that question through a real health-information-exchange: e-referrals, e-prescriptions, and e-lab-orders move between facilities, patient consent is shared, and a master patient index keeps one identity across the network, so a referral and the records behind it travel with the patient across facility lines. The more facilities join a network, the more valuable the network becomes to every member: the classic flywheel, applied to care that has never been connected before.

Why it wins

The moat.

13 AI agents, each in their lane

Not one chatbot but a team: Sidonie guides the platform, Anye advises clinically, Lum runs labs, Aza the pharmacy, Asat triage, Ngum revenue, Achu country rules, Diamond equipment, and Atabs guards the data in the background, grounded in a knowledge base of around 80 entries. Add patient-facing Nsoh, plus Fru and Ngoh on WhatsApp, and the platform answers staff, patients, and buyers alike.

A whole ecosystem, not a feature

29 facility types on one network: hospitals, clinics, pharmacies, labs, dental, dialysis, oncology, HIV/TB clinics, blood bank, ambulance, community health workers, health insurance and HMOs, medical-equipment vendors, nursing and midwifery schools, even veterinary One Health. Competitors sell a box; PolyHealth connects the system the box sits in.

Reach, the way Africa actually pays and talks

Cards through Stripe, and the rails people really use: NotchPay for MTN MoMo and Orange Money in Cameroon, Flutterwave for Nigeria, Kenya, and Ghana. Patients book and ask questions on WhatsApp through Fru; equipment buyers order through Ngoh. The product meets the market where it is.

TaTech engine

A shared multi-tenant platform with database-enforced row-level security, observability, an automation engine, and AI plumbing across a portfolio of products, so each new module, facility type, and country ships fast and cheap.

Traction

Built for a ministry, not a slide.

Business model

Recurring software, priced to the facility.

Subscription

Per-facility plans tiered by facility type and size, with per-tenant white-label branding and enabled modules. Predictable, and it expands as a facility grows and as more of its network joins.

Network & ecosystem

Referral networks, a shared service catalog, vendor and insurer connections, the WhatsApp equipment-sales channel, and specialty modules layered on the same base.

Compliance & reporting

Country-specific compliance, DHIS2 and disease-surveillance reporting, and accreditation evidence: the reporting burden, turned into a paid feature.

The ask

Let's talk.

We are raising to move from the ministry evaluation into a paid rollout across facilities and countries, deepen the AI clinical engine, and grow the network side of the ecosystem. If you back founder-led, AI-native software that reaches underserved markets first and meets the highest bar (a national health ministry) on day one, we should talk.

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