Patients at the Core of our Design Process

Every aspect from strap design to the SOS button placement has been tried and tested with actual patients in hospitals.

Reduced False Alarms

One of the biggest challenges with current alerting systems is the rate of false alarms, we have designed various sensors and machine learning algorithms to reduce the rate of false alarms; thereby reducing alarm fatigue for healthcare professionals.

Detecting Early Signs of Patient Deterioration

Our wearable device detects early signs of patient deterioration and alerts healthcare professionals by sending alerts to the central nursing stations and clinicians mobiles phones.

Machine Learning

The Taru platform is completely driven by artificial intelligence; where we have not only improved the detection of patient deterioration using healthcare protocols but have also developed prediction algorithms for various cardiovascular diseases.