Provide personalized health insights to the wearer through biometric sensor-based ML algorithms designed to provide real-time feedback and alerts.
Process sensitive user data on-device and reduce the need to send raw data to a cloud environment, where it can be more easily exploited.
On device processing of data ensures that that monitoring and insights can be delivered constantly, even in low connectivity or bandwidth environments.
Intelligently monitor core body temperature and other biometric signals to prevent injuries from heat exhaustion or overexertion.
Medical devices that process data on-device and reduce reliance on internet or connectivity allow for healthcare to be provided even for rural populations.
Intelligent monitoring and real-time analysis of various vital signals such as ECG, PPG, etc. to provide sleep score.
Detect falls through accelerometer and gyroscope sensors on an always-on smartwatch.
Manage baby’s activity and health through movement and biometrics sensors to ensure that the baby is safe and healthy.
Using computer vision techniques, reduce the time to diagnose common abnormalities in X-rays, MRI and other scans from hours to seconds.
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