Bering was founded with the goal of bridging numerous knowledge gaps in the biomedical sciences with data and analytics. While in academia, Greg was stunned to find that many of the major decisions in science — a field supposed to be driven by data — were being made in a haphazard and uninformed way.
It turns out that much of this data is available online, but scattered among many sources and not standardized for comparison. Greg saw that emerging data science tools could automate the process of data collection while also assigning a relevance to the data --- Bering is that vision.
Not surprisingly, these knowledge gaps extend outside the walls of the lab:
— Research and investment analysts from pharma and finance need to find cutting edge science and researchers and gain insights into patentable research.
— Billions of dollars are awarded to scientists by federal and private grant agencies every year, yet grant agencies do not have a comprehensive, data-driven way of comparing candidates.
— Academic department heads and deans do not have a data-driven way to evaluate their faculty for resource allocation, hiring and tenure decisions.
Bering’s mission is to serve this common need for data and analytics.