NEW YORK, March 31, 2020 /PRNewswire/ --

  • tellic graph.C19 visualizes 12 million connections between COVID-19 and related genes, drugs, phenotypes and variants
  • Scientists at Empire Discovery Institute are using graph.C19 to surface insights spanning two million publications as part of New York State's COVID-19 response
  • COVID-19 researchers are invited to register at

tellic, a technology startup based in New York, NY has been working for five years to develop an AI tool that surfaces actionable insights from biomedical research. Numerous biopharma currently use tellic graph as an AI-powered literature review tool to expedite their research. 

Today, tellic is announcing a graph.C19 version of its product containing data on COVID-19 and other coronaviruses to researchers at biopharma, academic institutions and non-profits. This web-accessible tool comprises over 12 million distinct connections across two million unique documents. It enables any researcher to log in and instantly access integrated knowledge from previous experience with coronaviruses, including SARS and MERS, as well as gain insights from the growing sea of biomedical data on COVID-19. 

Empire Discovery Institute contacted tellic last week to ask to use tellic graph to help their Scientific Advisory Board move faster to identify insights in COVID-19 research. "tellic graph.c19 enables our researchers to surface insights from millions of research articles in minutes. This process can take years with traditional methods," says Martin Graham, CEO of Empire Discovery Institute.

The release of tellic graph.C19 is a direct response to the White House call to action, which was made in partnership with the Allen Institute for AI, Chan Zuckerberg Initiative, Georgetown University's Center for Security and Emerging Technology, Microsoft, and the National Library of Medicine at the National Institutes of Health, requesting the AI community create technologies using natural language processing-a core technology used in tellic graph. This tool allows researchers to query key high-priority questions related to COVID-19, and connect the dots between findings in millions of data sources, addressing the White House's call to action.

"Last year, we launched the first biopharma knowledge graph that enables scientists to instantly connect the dots on insights scattered across tens of millions of documents," says Richard Wendell, tellic Founder and CEO. "Today we are giving scientists a version containing all internetworked knowledge on COVID-19 because we want to do our part to fight back against this pandemic." 

Starting today, licenses will be made available on a rolling basis for three months, up to three per organization. tellic will lead a blog forum for registered researchers to share findings and research questions. Researchers working on COVID-19 are invited to register at

About tellic: The company was founded in 2015 by Richard Wendell, a Fortune 500 Chief Data Officer, whose vision was to make it easy for pharma companies to apply emerging data science technologies to their pipelines. tellic pioneers a new category of enterprise-scale biomedical language processing and knowledge discovery powered by machine learning. For more information, please contact [email protected]

About tellic graph: tellic graph uses natural language processing and AI technologies to expedite literature search. Researchers can save hours of cycles of manual search strategies in PubMed and other sources, and directly surface a list of the most relevant connections and sources supporting those connections for easy manual review. This tool can uncover unexpected connections as it searches across millions of biomedical data sources. 

About tellic graph.C19: tellic graph.C19 provides data-supported relationships between COVID-19, other coronaviruses and biomedical entities including genes, variants, phenotypes and drugs.

Video overview of tellic graph:

Media contact:
Irene Kaganman
[email protected] 
(212) 221-8612