Asleep

Categories: Healthcare, Productivity, Automation / Agents | Pricing: Pricing unavailable | Official Website ↗

Asleep provides an AI-powered API for sleep tracking and analysis using only smartphone microphones, without wearables.

Asleep offers the AsleepTrack API, a solution for integrating sleep measurement and analysis modules into various services. It utilizes a highly accurate sleep AI model trained on extensive sleep data, including 2,201,145 service sleep data points, 74 patent applications, and 22 published papers. The technology has received KFDA Class 2 medical device certification. The AsleepTrack API is designed to simplify the development of complex sleep analysis algorithms, saving companies time and resources. It provides a dashboard for convenient data management and offers SDKs and developer documentation for quick integration. The system analyzes sleep sounds to determine sleep stages and movements, claiming high accuracy comparable to or exceeding wearable devices, even in noisy home environments. Asleep's technology allows partners to expand into the sleep market, offering features like sleep-inducing sounds, smart alarms, personalized wellness routines, and smart home integrations. It supports various applications in health, fitness, finance, and IoT, enabling services to automatically adjust environments based on a user's sleep state.

Key Features

AI-powered sleep analysis API
Non-wearable sleep tracking (via microphone)
2-stage sleep analysis (Wake/Sleep)
4-stage sleep analysis (Wake/Light/REM/Deep)
Real-time sleep analysis add-on
Snoring monitoring add-on
Dashboard for data management
SDK and developer documentation

Pros

Highly accurate sleep tracking without wearables
Simplifies integration of sleep modules for businesses
Offers detailed sleep stage analysis (up to 4 stages)
Functions effectively in various home environments with noise
Provides real-time monitoring and snoring detection as add-ons

Cons

Pricing details are not publicly listed, requiring inquiry
Requires a device with a microphone to be within 2-4m for optimal accuracy
Focuses on B2B API integration rather than direct consumer application
Accuracy can decrease if the device is too far or obstructed
Specific details on SDKs and sample apps are not fully elaborated on the main site

Use Cases

Integrating sleep tracking into health and fitness apps
Developing smart home systems that adjust environments based on sleep
Creating personalized wellness and diet recommendations
Enhancing customer engagement with sleep-related features
Building 'miracle morning' or sleep routine challenge services

Best For

Health and wellness app developers
Smart home device manufacturers
IoT solution providers
Companies looking to integrate sleep data into their services
Businesses in fitness, finance, and lifestyle sectors

Platforms: Web

Watch demo on YouTube ↗

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