ResoluteAI, the research platform for science, today announced the release of the Resolute Research Network (RRN), a comprehensive global database of Key Opinion Leaders (KOLs) in Science, Technology, Engineering, and Mathematics (STEM). RRN aggregates the research interests, biographical information, awards, and publication information of over 230,000 academic faculty from more than 350 universities and research institutes around the world. The database is searchable and can highlight connections between faculty and their patents, investigatory roles in clinical trials, and co-authors.
RRN is the latest dataset addition to ResoluteAI’s Foundation product, which
aggregates and connects disparate scientific databases using machine learning (ML).
Foundation’s ML-based search engine facilitates finding KOLs on any STEM topic and then
identifies others with similar research interests and backgrounds. Other datasets available
through Foundation include Clinical Trials, Patents, PubMed, News, Technology Transfer,
Grants, and several FDA datasets.
“A growing number of our customers are looking for research and partnership opportunities with universities and their faculty. The Resolute Research Network was built specifically to accelerate connection and collaboration between science-driven organizations and experts doing unique and extraordinary research,” said Steve Goldstein, CEO of ResoluteAI. “Searched in concert with the other datasets available in Foundation, RRN provides a robust tool to find KOLs and related research for any STEM topic, no matter how specialized.”
To date, ResoluteAI has raised a total of nearly $10 million, including a recent Series A led by Oval Park Capital.
