12Evolve

OUR PRODUCTS

XK300 Sensor

Precise Vital Signs Monitoring

The  XK300 sensor from Xandar Kardian offers contact-free monitoring with its wall- and ceiling-mounted devices. By utilizing radar technology, it eliminates the need for wearables or physical contact — providing a convenient, comfortable and compliance-free monitoring experience.

VITALS from vitalerter

Continuous Monitoring Solution

The mobile bio-sensor is simply placed under the bed or wheel chair with no loss of comfort. It continuously monitors heart-rate, respiration rate and body motion. The system alerts when high risk residents attempt to leave the bed/chair to prevent falls. It helps staff follow turn protocols to prevent pressure ulcers. It provides warnings in situations of irregular breathing, heart rate incidents, epilepsy seizures and sleeping disorders.

YOUR TRUSTED PARTNER IN REMOTE PATIENT MONITORING PRODUCTS

Our mission is to empower professionals in the medical field with innovative tools and reliable solutions that enhance patient care and improve outcomes.

FALL DETECTION

Disruptive Solution

At 12Evolve, we are committed to advancing healthcare technology to improve patient safety and care. Our innovative fall detection solutions represent a disruptive advancement in ensuring the well-being of patients, particularly the elderly and those with mobility challenges. Utilizing cutting-edge sensors and smart algorithms, our fall detection systems are designed to immediately identify and respond to falls, providing real-time alerts to caregivers and medical staff.

IoT device

Smallest Medical Device

12Evolve is an easy-to-use light-weight IoT device which wirelessly and continuously measures a plurality of clinically relevant physiological vitals to the assessment of human well-being and disease management. The physiological vitals can be monitored remotely anywhere and at any time by health care professionals with a mobile application. 12Evolve measures different physiological vitals from the patient digitally, converting them with an algorithm into reliable measurements for healthcare professionals.