MLOps Pipeline for Shipping Guidance Models to Handheld Ultrasound Devices
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Problem
Model updates trapped in firmware
A handheld ultrasound device maker with hardware in roughly 50 clinic networks shipped its AI capture-guidance models the slow way: hand-packaged into full firmware builds, released quarterly, and installed unevenly. Its data science team had models ready months before clinicians saw them, nobody knew which devices ran which version, and a bad build meant support calls, not a rollback.
Solution
Over-the-air model delivery pipeline
We engineered an end-to-end MLOps pipeline around the client's existing guidance models: a versioned model registry, automated conversion and on-device validation for the edge runtime, staged over-the-air rollouts decoupled from firmware releases, fleet-wide version telemetry, and one-click rollback. Release evidence for the quality team is generated automatically from the pipeline's audit trail.
Measurable Impact
What changed after launch
Model release cadence improved from one quarterly firmware bundle to fortnightly over-the-air updates
92% of fleet devices ran the latest guidance model within 14 days of release, up from roughly 40% after a full quarter
Faulty-release recovery cut from a multi-week firmware respin to an automated rollback in under 15 minutes
Release documentation effort for the quality team reduced from about 3 weeks to 4 days per release
Tech & Tools Used
What powered the build
Ready to Build your Medical Devices Business with MLOps & Model Deployment
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