GlucoGear

Based in Sao Paulo, Brazil, GlucoGear is a health-tech company established in 2015 by Yuri Matsumoto and Rafael Braile. The firm operates in the digital health sector, focusing on transforming diabetes treatment from a reactive to a personalized and preventive model. The company's primary offering is a healthcare platform centered around a proprietary Artificial Intelligence technology. This AI is engineered to predict a patient's blood glucose curve hours in advance, identifying potential risks of hypoglycemia and hyperglycemia. It analyzes key data points including blood glucose history, insulin injections, diet, and physical activity to deliver its predictions.

The core of GlucoGear's service is to provide patients with alerts and preventive recommendations, enabling them to proactively manage their condition. This predictive capability allows for the optimization of insulin dosages and nutritional plans to avert adverse glycemic events, thereby improving clinical outcomes and quality of life for individuals with Type 1 and Type 2 diabetes. The company developed a digital therapy platform, GlucoTrends, for health institutions to create a digital patient care journey, facilitating remote monitoring and teleconsultations. This intelligence can be integrated into their mobile app, embedded in medical devices like Continuous Glucose Monitors (CGMs) and insulin pumps, or function as the core intelligence for an Artificial Pancreas.

GlucoGear operates on a B2B2P (business-to-business-to-patient) model, targeting healthcare providers, clinics, and institutions. The company has received funding from investors including SEVNA, Rhombuz, eMerge Americas, and Fundação de Amparo à Pesquisa do Estado de SP. Incubated at the Supera Parque de Inovação e Tecnologia de Ribeirão Preto, the startup has gained international recognition, securing third place at the Diabetes Center Berne's Global Innovation Challenge. Pitchbook data indicates the company is now out of business.

Keywords: diabetes management, glycemic control, predictive analytics, digital health, artificial intelligence, medical technology, hypoglycemia prediction, hyperglycemia risk, insulin dosage optimization, digital therapeutics, remote patient monitoring, chronic disease management, health-tech, continuous glucose monitoring, AI in healthcare, personalized medicine, preventive healthcare, teleconsultation, clinical decision support, medical device integration