EVQLV IS BRINGING SOFTWARE ECONOMICS TO THE LIFE SCIENCES TO MAKE THE FUTURE A BETTER PLACE

Our Story

Our founders, Brett and Andrew, met while studying data science at Columbia University. They had both watched loved ones suffer from illness, so they decided to use the data science tools they had acquired to make a broad impact on the health of humanity.

 

Brett and Andrew are building EVQLV to find better and faster ways to discover, develop, and deliver medicine. EVQLV’s mission is to accelerate the speed at which healing reaches those in need, whether it is those who are directly affected by disease or the loved ones who surround them.

Our Technology

We use data from a range of exponentially growing datasets, which provides us with sequence, structure, biophysical properties, and more. We integrate that data and apply our algorithms and computational models in order to extract knowledge.

 

Using an amino acid sequence as an input, EVQLV applies evolutionary principles to identify patterns of protein formation against a target or antigen. This process generates millions of candidates, but takes only hours to complete.

The EVQLV platform characterizes generated candidates using a host of relevant factors. This functions as a computerized version of laboratory assays, but at a significantly greater speed and scale than would otherwise be possible.

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