EASE’s $9.5 Million Raise Tests Pay-Per-Use Medical Equipment in Africa

EASE Holdings BV says it has secured US$9.5 million in additional equity from AAFC Group, taking its total equity to US$24 million and setting up a new phase of expansion in South Africa and Ghana. The medical equipment-as-a-service company says the funding, combined with debt facilities, will support installations of technologies including MRI, CT and PET-CT scanners, surgical robots and radiotherapy systems. It has also set a target of at least US$20 million in new South African installations during 2027.

The announcement speaks to a persistent business problem in healthcare: a hospital may need advanced diagnostic equipment but cannot easily finance the purchase, maintenance and eventual replacement of a machine that costs millions. EASE’s model shifts the arrangement from outright ownership to pay-per-use or managed service contracts. That may lower the upfront capital burden for a provider, but it does not make the equipment free. The economics depend on utilisation, fees, service uptime and the provider’s ability to cover payments without pricing patients out.

What the new funding does, and what it does not

The US$9.5 million is new equity for EASE, not a grant to hospitals and not the value of new medical equipment already installed. The company says its total equity now stands at US$24 million and that it will use the capital alongside borrowing to expand its installed base. Its forecast of at least US$20 million in installations in South Africa next year is a company target, not completed investment or a guaranteed number of machines.

The distinction matters because healthcare investment announcements can blur together equity raised by a service provider, equipment financing arranged for a clinic and actual services delivered to patients. Each is a different measure. The equity gives EASE a stronger base from which to fund operations or support contracts; debt facilities may provide additional capacity; the eventual installations will depend on agreements with hospitals, vendors and lenders. Patients benefit only when equipment is operational, staffed and accessible at a cost they can afford.

EASE has listed deployments that include a PET-CT scanner in Rustenburg, surgical robots in KwaZulu-Natal and Mpumalanga, an MRI scanner in Akwatia, Ghana, and CT scanners in Accra. These examples show the company has equipment operating in both markets. They do not by themselves establish how many patients have been served, how often machines are used, or whether treatment costs have fallen. Those outcome measures will be more important than the headline amount of capital raised.

Why equipment-as-a-service can appeal to hospitals

A conventional purchase can tie up a provider’s capital before a scanner or treatment system generates revenue. The provider must also manage installation, maintenance, repairs, software updates, operator training and downtime. EASE describes contracts that combine equipment access with maintenance, support and upgrades, with fees linked to use or a managed-service arrangement. That structure can convert some of the initial capital burden into recurring operating costs, depending on the exact contract and the accounting treatment applied by the provider.

For a hospital with sufficient patient demand, predictable service and transparent fees, avoiding a large purchase may free funds for staff, medicines or other services. The model can also align some provider payments with utilisation: a facility may pay as the scanner is used rather than carrying the whole purchase cost regardless of demand. For newer technologies, ongoing maintenance and upgrades may be as important as access to the hardware itself.

But a pay-per-use contract transfers rather than eliminates financial risk. If patient volumes are low, the provider may struggle to meet fixed minimums or service fees. If the contract charges per scan, providers may pass some of the cost to patients or insurers. If equipment is out of service, a clinic may lose both diagnostic capacity and income while still facing contractual obligations. The contract therefore needs clear uptime standards, service response times, training responsibilities, data protections and remedies when the equipment is unavailable.

Access requires more than machines

Expanding the number of scanners does not automatically expand access to diagnosis. Facilities also need trained radiographers, radiologists, technicians, electricity, connectivity, consumables and referral systems. For surgical robots and radiotherapy equipment, the clinical workforce and specialised support requirements are even more demanding. Without these complements, sophisticated equipment can be underused or concentrated in a small number of high-volume urban hospitals.

South Africa and Ghana offer different operating environments, and a contract that works in one market may not transfer unchanged to the other. Providers face different payment systems, patient incomes, public and private funding arrangements, import costs and local-currency risks. EASE says it is already active in both countries and is considering other markets, including Morocco. Any further expansion should be based on local demand and the ability to support each installation, not only on the size of a regional market.

For the model to support broader access, the company and healthcare providers will need to show who can use the equipment and at what price. Will a device be available to public hospitals, private facilities or both? Can smaller clinics refer patients to a nearby hub? Are fees structured so that lower-income patients are not excluded? Will insurers or public purchasers reimburse tests at rates that cover the service without pushing costs onto households? These questions determine whether the financing innovation changes access or simply changes how a well-resourced provider acquires its equipment.

Measure uptime, affordability and patient reach

The next phase of EASE’s growth would benefit from reporting that goes beyond the funding total and installation target. Useful indicators could include the number of systems commissioned and operating, uptime, equipment utilisation, turnaround time for reports, the number of patients served, and the share of work paid for by public or private providers. Reporting should also explain whether fees are fixed, usage-based or blended, and how maintenance and replacement costs are allocated.

These measures would help hospitals assess the total cost of ownership against the service contract. They would also help investors see whether a healthcare-equipment business can deliver stable revenue without relying on unrealistic demand forecasts. The basic finance question is whether the equipment generates enough clinical and financial value over its useful life to cover the service cost, while leaving the provider with room to care for patients.

There is also a governance dimension. Contracts should make clear who owns the clinical data generated by imaging systems, how it is protected, and who can access it. AI-enabled equipment may support workflows, but claims about diagnostic accuracy or improved outcomes should be supported by product-specific evidence and local clinical oversight. The funding announcement does not disclose individual contract prices or a measurable patient-outcome evaluation, so those results remain to be demonstrated.

A promising financing tool, with conditions

EASE’s new capital highlights an emerging approach to healthcare infrastructure: finance the equipment and service package around the cash flows generated by its use. That can be useful where hospitals face steep upfront costs and conventional borrowing is difficult. The model is neither a substitute for public health investment nor a solution to every barrier facing African health systems. It is a commercial tool whose public value depends on who gets access and whether the long-term cost is sustainable.

The company now has more equity behind its plans, a presence in two African markets and a stated pipeline for further South African installations. The next test is execution: bring machines online, keep them working, train local staff and make services reachable at prices providers and patients can bear. If those pieces come together, pay-per-use financing could help more facilities offer specialist diagnosis without carrying the full purchase cost. If they do not, a larger installed base may still leave access concentrated and expensive. The investment is a beginning; performance and affordability will decide what it means for patients.