MedWhat is a medical artificial intelligence company based in Silicon Valley. We are building a unified algorithmic architecture to achieve human-level intelligence in medicine. Currently, we are focused on deep learning for medical conversations, diagnosis & treatment, medical questions answering, medical image recognition, personalized medicine, and curation of genetic variance in biotechnology. We are interested in general solutions that work well across multiple medical domains and tasks. One of our products is Medwhat’s AI Personal Medical Assistant which answers consumers’ health and medical questions by personalizing the answers using user’s EMRs. Our Personal Medical Assistant can help payers and providers keeping patient population healthy, patient engagement after discharge from doctor office or hospital, and lower readmission rates. We offer two tiers, Tier 1 is a free app for consumers for general answers and Tier 2 a paid app for a personalized assistant used through providers and payers. MedWhat has an enterprise product for doctors, nurses, and hospitals. MedWhat’s Artificial Intelligent Doctor can help medical providers scale faster, take care of ‘blind spots’ while practice medicine and seeing patients, make less errors, prevent wrongful deaths by human mistakes, and improve patient outcomes. The MedWhat team leverages progress in machine learning and computer vision communities, and we are always looking for exceptional researchers to join our team.
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San Francisco, US
Size (employees)
3 (est)
MedWhat was founded in 2010 and is headquartered in San Francisco, US
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Key People/Management at MedWhat

Arturo Devesa

Arturo Devesa

Founder & CEO
Mark Musen

Mark Musen

Director of Biomedical Informatics Research at Stanford University’s Medical School, MedWhat Advisor
Sasidhar Madugula

Sasidhar Madugula

MD/PhD Student at Stanford Medical School

MedWhat Office Locations

MedWhat has an office in San Francisco
San Francisco, US (HQ)
1100 60 Spear St
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MedWhat Financials and Metrics

Summary Metrics

Founding Date


Total Funding

$560 k

Time since last funding

2 years ago


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