Zensei

Empowering respiratory patients with intelligent, comprehensive care for better breathing and informed decision-making.

General Information
Company Name
Zensei
Founded Year
2017
Location (Offices)
Founders / Decision Makers
Number of Employees
-
Industries
Health Care, Internet, Pharmaceutical +1
Funding Stage
-
Social Media

Zensei - Company Profile

Zensei is a health tech startup that aims to empower respiratory patients with intelligent, comprehensive care to improve breathing and informed decision-making. Addressing the daily care needs of respiratory patients, Zensei recognizes that traditional symptom tracking often overlooks environmental, habitual, and social factors, hindering effective management. The platform integrates deep phenotyping data with machine learning and computational epidemiology to provide a proactive and preventive approach to respiratory healthcare.

The key features of the Zensei platform include monitoring environmental factors such as pollution, pollen, and viruses, maintaining a respiratory health diary, medication reminders, breathing exercises, AI-driven epidemiological models at individual and population levels, respiratory health reports, and medical teleconsultation. Founded in 2017, Zensei operates within the industries of Health Care, Internet, Pharmaceutical, and Health insurance.

As of now, Zensei's last investment details including the amount, investors, date, and location are not available. However, given the innovative nature of its solution and the growing focus on personalized healthcare, Zensei presents a compelling opportunity for potential investors seeking to support disruptive technologies in the healthcare sector. With its focus on leveraging data-driven insights and advanced technology, Zensei holds potential for strong growth and positive impact within the respiratory healthcare space, making it a promising prospect for venture capital investment.

Taxonomy: Respiratory health, Deep phenotyping data, Machine learning, Preventive healthcare, Environmental factors, Behavioral economics, Medical teleconsultation, AI-driven epidemiological models, Chronic disease management

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