Build an FDA-Cleared AI CPAP Comfort-Setting Device Feature

1. 1

   Target the adherence gap, because that is the whole value

   The reason this feature is worth building is a documented, expensive problem: standard CPAP therapy achieves only about 50 percent adherence, while connected, coached therapy pushes it above 85 percent. Every non-adherent patient is a failed therapy and a reimbursement risk. An AI feature that personalizes comfort settings to keep patients on therapy attacks that gap directly, which is why ResMed built Smart Comfort. Frame everything around measurable adherence improvement.

2. 2

   Secure access to large-scale real-world sleep data

   The moat here is data. ResMed's feature draws on more than 100 million nights of de-identified real-world sleep data, and models like this need scale to be safe and effective. Realistically you either sit on a connected-device installed base (see the connected-cpap-mask-device-ecosystem card in this file) or partner for data access. Handle it as de-identified protected health information under strict compliance. Without meaningful data scale, you cannot build or clear this.

3. 3

   Develop and clinically validate the model

   Build the ML model that recommends personalized comfort settings (pressure ramp, humidity, and related parameters) and validate clinically that it actually improves adherence and comfort without compromising therapy efficacy. Clinical evidence is not optional; it underpins both FDA clearance and clinician trust. Design the validation with sleep clinicians from the start so the endpoints match what regulators and prescribers care about.

4. 4

   Pursue FDA clearance as an AI-enabled medical device

   A feature that recommends therapy settings is a regulated medical device function, and FDA has an evolving framework for AI-enabled devices including expectations around change control for models that learn. ResMed's Smart Comfort was FDA-cleared in December 2025. Plan the regulatory pathway, the predetermined change-control plan for model updates, and the quality system early, because clearance is the gate and it takes years.

5. 5

   Embed it in a connected-device ecosystem and monetize as recurring software

   This feature is not a standalone product; it lives inside a connected CPAP ecosystem and monetizes as recurring software value layered on the device installed base, improving adherence (which protects reimbursement) and adding subscription-worthy capability. The economics work because it rides existing hardware and data rather than requiring its own. This is why the realistic builder is a connected-device company or a close partner, not an isolated app.

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