November 03, 2015 09:08 ET

Meta Launches Universal Machine Intelligence Platform to Unite the Fragmented Scientific Information Ecosystem

Company Provides Powerful New Solutions to Tackle the Exponential Growth in Global Research Output for Researchers, Publishers, Government and Life Science Companies

TORONTO, ON--(Marketwired - Nov 3, 2015) -  Meta (formerly Sciencescape Inc.), a big data company for science and intellectual property, announces the launch of its 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.

With the launch of Meta comes a powerful new literature discovery engine and 20 intelligent platform services designed to help academics, publishers, life science companies, granting bodies and government agencies solve their most critical science information challenges. Meta's free readership platform ( lets scientists follow every researcher and entity ever mentioned in the history of science. It also allows them to stream and share breaking research related to those entities as soon as it's published on PubMed.

"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."

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 U.S. Library of Medicine -- and continuously crawls the web to identify all of the people and entities mentioned in the literature. It analyzes the number and quality of citations associated with each article, and uses that information to rank the papers. Finally, Meta examines the average impact of the papers associated with every entity in its universe to determine a value for each entity. The result is the largest scientific knowledge graph in the world, and one so extensive, it knows every paper, person and entity that make up the universe of science, and how they are connected.

For industries like publishing and life science research, Meta provides next-generation solutions built from its 20 platform services. These solutions offer a wide range of intelligent functions, from detecting scientific and technical emergences that are still years away, to predicting future citation rates of academic papers, to informing geographic hotspots for product usage around the globe. Examples of these solutions include:

Horizon Scanning (in collaboration with SRI International) - Meta has licensed SRI International's technologies developed under the Intelligence Advanced Research Projects Activity (IARPA) Foresight and Understanding from Scientific Exposition (FUSE) program to market as part of Meta's literature discovery and platform services. The service, offered through Meta under the name Horizon Scanning, will enable academics and industries to maintain early awareness of emergent scientific and technical advances at a speed, scale and comprehensiveness far beyond human capacity, and years in advance.

Bibliometric Intelligence for publishers - A data service that predicts, with pinpoint accuracy, post-publication citation performance of incoming manuscripts at scale and at the moment of first submission. This eliminates the painful cycle of submission and rejection, and it helps publishers publish more content by intelligently cascading manuscripts to the right journals in their catalogue.

Market Applications for life science tools and reagents companies - A data service that analyzes the thousands of academic papers that are published daily and pulls out key information to inform product development, sales and marketing strategy. The service can also stream newly published papers that use a company's tools or products, directly onto their webpage. This provides the ultimate testimonial for life science companies and helps researchers make more confident purchasing decisions.

"Today marks a giant step forward in our mission to organize and deliver the world's scientific and technical information," added Molyneux. "We have built a coalition of partners who share our vision. We have developed and acquired groundbreaking technologies in artificial intelligence research. The mission we set out on five years ago has not changed. What has changed is the depth of our technology and data, and the scope of the challenges we are now solving."

About Meta

Meta (formerly Sciencescape) is a big data company for science and IP that uses machine intelligence to solve core research information challenges for academics and industries built on the academic literature. Meta's free literature discovery engine is used by researchers at thousands of institutes around the world, while Meta's intelligent data services are used by industries like publishing, life sciences, and government. Meta's mission is to organize and deliver all of the world's scientific and technical information. For more information about Meta and its services, visit

Contact Information

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