Showing 61–80 of 1,000 ranked alternatives.
Humanity Inc.
Track aging and adjust habits accordingly
Track biological age using AI analysis of data. Set personalized goals based on aging metrics. Receive daily recommendations for diet, exercise, and sleep. Monitor progress over time with detailed reports. Sync data from wearable devices.
Guava Health, Inc.
Track symptoms and manage chronic conditions
Track symptoms, pain levels, and mental indicators. Log medications and medical appointments. Sync data from devices and medical records. Set reminders and view detailed progress reports.
Signos, Inc.
Track body metrics and receive real-time feedback
Track glucose levels in real time using paired biosensor data. Receive personalized feedback on how food, activity, sleep, and stress impact metabolism. Set goals for blood sugar management and view progress over time.
Elevatus, LLC
Plan tasks and track progress
Helps users with ADHD or neurodivergence manage tasks and mental health. Sets goals, tracks progress, and provides reminders. Offers AI-driven planning, mood tracking, and mindfulness exercises. Syncs across devices and integrates with calendar apps.
Neuramod LLC
Optimize with AI-powered insights
Track sleep patterns, heart rate, and stress levels using built-in sensors. Receive personalized insights and recommendations. Set and monitor fitness goals. Sync data with wearable devices. Adjust diet and lifestyle based on AI-generated feedback.
b.well Connected Health, Inc.
Track metrics and manage appointments
Unified records consolidate data from various doctors, labs, and insurance providers into one secure dashboard. Insurance overviews clarify benefits and coverage details. Medication tracking helps users manage dosages and refill reminders.
Culture Unplugged Pte Ltd
Track , meditate, and breathe
Track periods, set reminders, and log meals. Learn about nutrition, meditation, and breathing techniques. Access guided sessions and progress reports. Sync with wearable devices to monitor health metrics.
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.