Wearable device for nervous system regulation with research-grade sensors
NOWATCH builds a wearable focused on stress resilience and nervous system support, with embedded sensors and mobile companion apps. The tech stack reveals a hardware-software integration play: low-level embedded work (C, Zephyr, Bluetooth Low Energy optimization) paired with native iOS and Android clients (Swift/SwiftUI, Kotlin/Jetpack Compose), plus active adoption of testing frameworks (Appium, Espresso) — indicating maturation toward production rigor. Current hiring (6 engineers, mostly senior, across Netherlands) is concentrated in core platform work: next-generation embedded firmware, battery optimization, and on-device ML deployment.
NOWATCH is a health-tech company founded in 2020 and headquartered in Amsterdam. The product is a wearable device equipped with research-grade sensors designed to support stress resilience and nervous system regulation. The company operates a mobile-first software architecture: the device communicates via Bluetooth Low Energy to iOS and Android companion apps (built on native frameworks), which handle health data visualization and personalization. The engineering org is building toward deployed ML models on the wearable itself and improving battery efficiency for always-on sensor monitoring. Total headcount sits between 51–200 employees, with hiring currently concentrated in engineering roles.
Embedded: C and Zephyr. iOS: Swift, SwiftUI, Core Bluetooth, HealthKit. Android: Kotlin, Jetpack Compose, Bluetooth Low Energy. Backend/data: REST API, SQLite, Room. Development tools: Android Studio, Figma. Currently adopting Appium and Espresso for testing.
Next-generation embedded platform, low-power battery optimizations, on-device ML model deployment, Bluetooth communication layer between wearable and mobile apps, and health data visualization UI.
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