The wearable health technology market is converging on a pivotal architectural question. Who is best
positioned to build a Health Operating System (Health OS) capable of delivering clinically meaningful,
AI-driven insights at scale? This paper argues that vertically integrated hardware sensor owners hold
decisive structural advantages over agnostic platform aggregators. These companies control the full
stack: from photoplethysmography (PPG) hardware and firmware through proprietary signal processing
algorithms and cloud infrastructure, all the way to clinical-grade regulatory approvals.

The core hypothesis is straightforward. Proximity to raw physiological data is not merely a technical
preference. It is a fundamental prerequisite for training AI models that go beyond what is achievable by
recombining intermediate, pre-processed vital parameters. This paper also critically examines whether
granular data is always necessary. For certain AI applications, aggregate data can suffice. Recognizing
that distinction is essential for calibrating investment and development priorities.

Corsano Health B.V. occupies a uniquely strong position in this landscape. It is one of the few companies
globally that combines: (1) a clinically-validated, MDR Class IIa and FDA 510(k)-cleared continuous
monitoring wearable producing data at up to 128 Hz; (2) proprietary firmware and algorithms for all major
vital parameters; (3) a full software stack including patient and HCP portals; and (4) strategic partnerships
with Medtronic, Netcare and major academic hospitals. Corsano is a rare case of full-stack ownership in
the medical-grade wearable segment. This paper explains why that architecture creates durable
competitive advantages in the emerging Health OS paradigm.