Meta’s Platform Pieces Together Fragmented Scientific Information Ecosystem

Meta has launched a universal machine intelligence platform to make the information that lives inside the world’s scientific papers discoverable to people and industries throughout the scientific universe.

Formerly called Sciencescape, Toronto’s Meta is a big data company for science and intellectual property.

Meta’s literature discovery engine is designed to help academics, publishers, life science companies, granting bodies and government agencies solve their most critical science information challenges.

“Our company was originally created to solve the problem of publication overload for researchers specifically,” said Sam Molyneux, Meta’s CEO and co-founder. “As we immersed ourselves in diverse science-focused organizations around the globe, we uncovered countless ways in which the scaling up of science and scientific information has caused fragmentation across the entire ecosystem. We also realized that our machine intelligence could be applied to solve a myriad of information problems where human efforts had failed to keep pace.”

A former Techvibes 20 company, Meta works with dozens of publishers around the globe to scan their entire library of full text academic articles, including the 4,000 new papers published each day. It also reads the entirety of PubMed, a biomedical citation database maintained by the US Library of Medicine.

For industries like publishing and life science research, Meta provides next-generation solutions built from 20 platform services.