empowering health decisions, delivered by AI

use our smart algorithm securely to check your risk of COVID-19, protect yourself and your loved ones.

 


how it works

CoVis calculates your risk of COVID-19 based on global and local information brought in from our database, combined with your personal data - which always stays on your phone.

With zero tracking codes, your data is always protected. Safe to use, and used for safety!

 
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We harness the powers of machine learning algorithms to process big data from several reliable sources to monitor the disease spread. Our experts scan medical literature to understand the latest scientific results. All of that knowledge is made available on your phone — every day — so that you and your loved ones can stay safe.

 
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download the CoVis app:

“digital technologies, machine learning and artificial intelligence are revolutionizing the fields of medicine, research and public health…”

World Health Organization

 

learn more about our philosophy around security and privacy

how we started

We are an interdisciplinary and energetic team, formed at the MIT COVID-19 Challenge in April 2020. Strongly committed to the cause and our solution, the team collectively put in innumerable hours since the conception of the idea, resulting in extraordinary progress. In this time we have already won the MIT hackathon twice (>1500 participants globally), established user interaction and processing platforms, tested algorithm sensitivity, and extensively researched user experience and business developments.

The development of the CoVis app is funded by an academic grant from DESY, Hamburg bringing proven science to the core of CoVis.

Most importantly, we’re generally very nice people!

we are seeking implementation partners for our solution

Our team and solution (CoVis) won the hackathon hosted by Massachusetts Institute of Technology (MIT) two times.  (April 2020 and June 2020)

Our team and solution (CoVis) won the hackathon hosted by Massachusetts Institute of Technology (MIT) two times.
(April 2020 and June 2020)


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