How the Sleepbuds maker, Ozlo, is building a platform for sleep data | TechCrunch

"Those new partners could help Ozlo tap into new audiences and build a revenue model beyond consumer-focused hardware and into the profit-margin-rich world of software subscriptions and healthcare. For instance, software features that use AI or are designed to provide relief to users with tinnitus could be offered as premium subscriptions. And a recent acquisition of a neurotech startup should help Ozlo expand beyond being a consumer product to entering the medical device market, too."

"The mental wellness company Calm, for instance, is using the SDK to tell whether its sleep and meditation content is actually resonating with its customers. While Calm can't tell from its own app if customers have fallen asleep, Ozlo's sensors can. The device detects how body movements and respiration rates change, and that data is sent to the Ozlo charging case. There, a machine learning algorithm determines whether someone is asleep or is relaxed."

Ozlo produces sleepbuds that mask outside noise and is transitioning the product into a software and healthcare platform. The company built an iOS and Android SDK so its first-party app and third-party partners can access device data. Calm is using the SDK to detect whether users fall asleep by analyzing body movements and respiration via sensors and a charging-case machine-learning algorithm. The smart case also measures temperature and light. Ozlo aims to monetize premium AI features and tinnitus relief subscriptions and plans to expand from consumer hardware into regulated medical-device markets after a neurotech acquisition.

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