Series A

KroniKare

Developer of an artificial intelligence-based technology designed for the assessment and management of chronic wounds. The company’s technology utilizes image processing and machine learning to gain insights into chronic wound conditions and displays information that is generated by the technology as well as data that has been manually keyed in by nurses or on-duty healthcare practitioners, enabling healthcare institutions to detect infections, complications, blood circulation problems, and automated wound size measurements. KroniKare is an AI-based assessment and management technology for chronic wound care. The first step in using KroniKare is to assess a patient’s chronic wound using the scanning device. This wound is then cross-analysed against more than 15 years of data that has been integrated within the AI server. Within 30 seconds, a report is generated with a detailed assessment on the wound, allowing healthcare practitioners and patients to make quicker decisions about the best care and treatment needed.

UCARE.AI 

Operator of an artificial intelligence-based platform intended to optimize healthcare resources and reduce healthcare costs across the industry. The company’s platform uses AI to predict diseases through a predictive engine that prioritizes healthcare resources reduces preventable hospitalization and gets a personalized overview of the health risks and takes precautions, enabling its clients to generate predictive risk scores and health insights of various people to provide treatment accordingly and take care for future illness.

Kinexcs

Operator of an artificial intelligence-driven digital health platform and wearables company designed to enable and empower people for mobility. The company offers services that are focused on reducing the burden of musculoskeletal conditions and a continuous monitoring device for the knee joint which uses artificial intelligence technology for digital MSK (musculoskeletal) assessment and therapy, enabling the patients with pre-consultation assessments and real-time exercise guidance and feedback.

Aevice Health

Developer of a chronic respiratory wellness device designed for asthmatic patients. The company’s device records important and relevant historical data regarding respiratory symptoms and medication intake to facilitate the early detection of cardiopulmonary abnormalities remotely and in real-time, enabling patients to receive fast and targeted care from the ease of their homes.

Us2.ai 

Operator of a machine learning platform intended to provide partners with an end-to-end resolution for cardiovascular research, development, and distribution. The company’s platform automates the manual process of measuring and interpreting echocardiograms and provides artificial intelligence-based decision support tools to save doctors time, improve clinical trials for pharma, and support the detection of routinely missed and hard-to-diagnose conditions for hospitals, enabling physicians to improve the performance of cardiovascular clinical trials.

DocDoc

Developer of an artificial intelligence-based healthcare platform designed to empower patients with the information they need to make healthcare decisions. The company’s platform focuses on doctor discovery, telemedicine, and cashless services and enhances the end-to-end healthcare journey, enabling patients to optimize healthcare outcomes and costs.

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