Leverage Generative AI by integrating user data from wearables, fitness trackers, and IoT devices to deliver daily personalized insights that inspire and guide.
Raw Data Input
Sleep duration and sleep stages (light, deep, REM)
Interpret all available data
to foster ongoing engagement
Transform the data into tailored daily insights for either your experts or the end-users. From uplifting motivational messages to tailored nutrition and exercise regimes, enriched with educational wellness content, promoting better health management and preventing engagement drop-offs.
Use cases:
Coaching Platforms
Wellness Apps
Virtual Trainers
Activity Summary
Empower your platform with deeply personal activity summaries and instant suggestions based on sleep and recovery. Offer engaging educational content and clear data visualizations while streamlining onboarding with historical wearable data, setting your clients on a successful wellness journey.
Use cases:
Food & Nutrition
Habit Forming
Fitness Coaching
Computer Vision
Harness the power of computer vision to enhance digital health applications. By utilizing advanced image recognition technologies, you can offer transformative tools tailored to users’ health needs:
Food Scanner
Use AI image analysis to automatically identify and log nutritional info. Snap a meal photo for detailed insights on calories, nutrients, and diet tips, facilitating improved meal planning and adherence.
Movement Tracker
Monitor and analyze physical activities. Get real-time feedback on form, intensity, and consistency, enhancing workouts and preventing injuries.
Body Scan
Use 3D body scanning for personalized health assessments. Capture detailed measurements to track changes, understand physical health, and customize fitness and nutrition plans for individual body types and goals.
Use cases:
Snoring detection
Unrest detection
Voice recognition
Snoring detection. We provide a quick way for you to integrate audio transformation for related problem analysis. Enlarge your users’ health feature store by adding additional sleep quality metrics like snoring and unrest during the sleep.
Our ML engineering team will ensure the white-labelled tool is calibrated to your use case during the implementation