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CASE 06·PulseMed Health·2026

PulseMed Edge Diagnostics

Developed an on-device clinical diagnostic application executing quantized neural segmentation models directly on Apple Neural Engine. Operates entirely air-gapped with 100% HIPAA compliant data isolation.

  • Native iOS (Swift)
Medical imaging workstation running edge diagnostics
On-device
Neural inference
Air-gapped
Data isolation
100%
HIPAA compliant

Clinical environments cannot ship patient data to a cloud service, so PulseMed runs quantized segmentation models entirely on the Apple Neural Engine. No diagnostic frame ever leaves the device.

Privacy as an architecture

Because inference is local, isolation is a property of the system rather than a policy promise — the device simply has nowhere to send the data.

Stack: Native Apple • Swift 6 & CoreML

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