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Jhavtech Studios collaborated with Optalert, an Australian health technology company, to build an advanced iOS sleep monitoring app — Owl Eye: Sleep Test.
The goal was to create a simple yet scientifically backed mobile application that could help users detect potential sleep-related issues within minutes using eye movement analysis. The app was built with a strong focus on accuracy, user experience, and data privacy, ensuring users could test their sleep health easily from home.
Our client, a young innovator passionate about health and technology, envisioned an AI-powered sleep test that blends advanced ocular analytics with a user-friendly interface. They wanted a reliable, research-driven solution that empowers users to take control of their sleep health while ensuring medical-grade accuracy and secure data handling.
The client sought a partner capable of translating a complex sleep analysis algorithm into a smooth and reliable mobile experience.
Integration of the Eye Movement SDK provided by the client.
A non-invasive sleep analysis test based on ocular movement using ARKit.
Real-time test results in processing and intuitive visual insights.
Strict data privacy — video data discarded post-analysis while retaining only essential metrics.
A companion admin panel for managing articles, products, and analytics.
To bring this concept to life, we designed and developed the complete Owl Eye – Sleep Test iOS application, integrating a robust backend and admin panel for content management and data visualization.
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Built with SwiftUI for a modern and responsive iOS experience.
Integrated TrueDepth Camera & ARKit to capture and analyze eye and head movements with precision.
Implemented OSA (Obstructive Sleep Apnea) Test Processing, translating SDK data into meaningful user results.
Create a step-by-step test walkthrough to guide users through accurate positioning and lighting.
Added guest access for general content and secure user registration for performing tests.
Integrated REST APIs for seamless data exchange between the app and server.
We ensured compliance with strict privacy standards by processing eye data locally and discarding all video recordings immediately after test completion. Only essential, anonymized data was retained for result analysis.
To complement the iOS app, our team developed an admin panel and API services using the MERN stack (MongoDB, Express.js, React.js, Node.js). The admin dashboard enables the client to:
Manage sleep health articles, test results, and insight listings.
Monitor user engagement and test activity analytics.
A pre-built theme was customized to align with the mobile app’s UI design for a consistent brand experience.
To complement the iOS app, our team developed an admin panel and API services using the MERN stack (MongoDB, Express.js, React.js, Node.js). A pre-built theme was customized to align with the mobile app’s UI design for a consistent brand experience
For OSA testing using eye and head tracking.
Real-time data sync between the app and backend.
Real-time data sync between the app and backend.
For real-time analysis with precision tracking.
Converts SDK data into categorized sleep insights.
Displays educational articles and research-based guidance.
Step-by-step guidance for accurate testing.
Step-by-step guidance for accurate testing.
Curated suggestions for improving sleep quality.
For OSA testing using eye and head tracking.
Real-time data sync between the app and backend.
For real-time analysis with precision tracking.
Converts SDK data into categorized sleep insights.
Displays educational articles and research-based guidance.
Step-by-step guidance for accurate testing.
Curated suggestions for improving sleep quality.
We observed users and engaged in direct interactions to understand their behaviors and challenges.
We identified the core problem from research insights and framed a clear design challenge to guide the project.
Creative solutions were brainstormed, encouraging innovative thinking from all stakeholders.
The best concepts came to life through prototypes, allowing us to visualize potential solutions.
Prototypes were tested with users, and feedback was gathered for design improvements.
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We began with an in-depth review of Optalert’s research and the client’s SDK to determine technical feasibility and optimise iOS performance.
A dedicated full-stack developer built the admin panel and APIs in 4 weeks using MERN stack, ensuring seamless data flow and content control.
Our experienced iOS developer (9+ years) led the app to build, focusing on SDK integration, UI/UX, and test accuracy. The complete app was developed and tested in 1.5 months.
The app underwent extensive QA to validate eye-tracking accuracy, UI responsiveness, and data privacy protocols before launching.
The Owl Eye – Sleep Test app redefines how people approach sleep health monitoring through technology. It combines advanced ocular analytics, ARKit innovation, and user-centric design to offer an experience that’s both accurate and effortless.
What makes this project remarkable is the way AI-driven sleep analysis was made accessible to everyday users — transforming scientific precision into a seamless mobile experience. The integration of real-time data processing, secure architecture, and modern UX positions this app as a benchmark in digital health innovation.
At Jhavtech Studios, we take pride in helping health and technology innovators bring complex ideas to life with custom mobile app development, AI integration, and intuitive design.
Contact Jhavtech Studios today to turn your concept into a powerful, user-focused digital product.
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