Red Cedar Ventures
Red Cedar Ventures is a venture capital firm headquartered in East Lansing, Michigan, affiliated with the Michigan State University Research Foundation. It concentrates on early-stage technology investments across Michigan, backing startups that commercialize intellectual property created at Michigan State University. As the first venture fund in mid-Michigan, Red Cedar Ventures aims to support high-tech companies from formation to growth, providing capital and strategic guidance to help bring university-generated innovations to market.
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Past deals in Sri Lanka
Avidhrt
Seed Round in 2019
Founded in 2016, Avidhrt specializes in cardiovascular health technology. The company produces a mobile, clinical-quality electrocardiogram (EKG), pulse oximeter (SpO2), and temperature sensor device that enables remote monitoring of vital indicators via smartphone. These data are evaluated by a machine learning algorithm to assist patients in self-monitoring.
Avidhrt
Seed Round in 2018
Founded in 2016, Avidhrt specializes in cardiovascular health technology. The company produces a mobile, clinical-quality electrocardiogram (EKG), pulse oximeter (SpO2), and temperature sensor device that enables remote monitoring of vital indicators via smartphone. These data are evaluated by a machine learning algorithm to assist patients in self-monitoring.
Avidhrt
Pre Seed Round in 2017
Founded in 2016, Avidhrt specializes in cardiovascular health technology. The company produces a mobile, clinical-quality electrocardiogram (EKG), pulse oximeter (SpO2), and temperature sensor device that enables remote monitoring of vital indicators via smartphone. These data are evaluated by a machine learning algorithm to assist patients in self-monitoring.
Avidhrt
Pre Seed Round in 2015
Founded in 2016, Avidhrt specializes in cardiovascular health technology. The company produces a mobile, clinical-quality electrocardiogram (EKG), pulse oximeter (SpO2), and temperature sensor device that enables remote monitoring of vital indicators via smartphone. These data are evaluated by a machine learning algorithm to assist patients in self-monitoring.
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