Total raised
—
Stage
Pre-Funding
Founded
2017
Headcount
1-10
HQ
Tel Aviv-Yafo
Sector
Health Tech & Life Sciences
About
Medcognitus provide healthcare solutions using big-data and machine learning. It analyzes a large database of the world health organization, and uses computer algorithms to help doctors, clinics and hospitals to build efficient and appropriate treatment programs for patients. Medcognitus's first focus is on chronic diseases. The company's goal is to provide a more effective healthcare treatment for patients.
Company Intelligence Q&A
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- When was Medcognitus founded and where is it headquartered?
- Medcognitus was founded in March 2017 and is headquartered in Tel Aviv-Yafo, Israel.
- What is Medcognitus's primary focus in healthcare?
- Medcognitus focuses on providing healthcare solutions using big data and machine learning, specifically analyzing World Health Organization data to improve treatment programs for patients, with an initial emphasis on chronic diseases.
- What is the operational status of Medcognitus?
- Medcognitus is currently inactive, having ceased operations in January 2019.
- What technologies does Medcognitus utilize in its solutions?
- Medcognitus utilizes Artificial Intelligence and Machine Learning technologies.
- Who are the target customers for Medcognitus's solutions?
- Medcognitus targets healthcare providers, clinics, hospitals, and ultimately patients, with a B2B2C business model.
- What is Medcognitus's current funding stage?
- Medcognitus is in the Pre-Funding stage, with a total raised amount of $0 USD.
- Who is the founder of Medcognitus?
- Liam Galin is identified as the founder of Medcognitus.
- What is the estimated employee count for Medcognitus?
- Medcognitus has an estimated employee count in the range of 1-10.
Sectors & technology
Primary sector
Health Tech & Life Sciences
Sub-sectors
Health Tech & Life SciencesDigital HealthcareMedical Decision Support
Technologies
Artificial IntelligenceMachine Learning
Target customers
Healthcare & Life SciencesHealthcareProvidersPatients
Business model
B2B2C
Tags
chronic-diseasebig-datamachine-learningartificial-intelligencedata-analyticsdecision-makingchronic-patientspatientsdoctorsdigital-healthcarehospitalshealthcare-providersdecision-supportstealthmode