
Expert Graph is a semantic search engine to track in-house tech experts and R&D activities within millions of organizations. We have developed exclusive semantic analysis techniques to map any text into hundreds of thousands of pre-defined semantic technology categories that machines can understand.
Exclusive Service: In addition to global expert search that finds 19M experts for any field of science & technology across the world , we also offer exclusive in-house search, which allows users to find experts and recent R&D work within millions of organizations, including all major US companies, research labs and universities.
Price: Users can use some of our services for free (with some results masked). Paid users ($79.00/M) will gain access to all services and see more results.
Users use our services to:
- search/track in-house experts and R&D activities within millions of organizations.
- search within millions of experts’ profiles.
- find candidates (including passive job-seekers) for senior-level tech positions.
- find junior researchers as new hires/ research interns.
- find reviewers to review papers and grant applications.
- find patent lawyers to draft a specific patent applications based on contents.
- discover the right tech teams to invest.
- identify potential competing interests.
i-Search: in-house search
LIVE EXAMPLES
Search for experts working on “vaccine” at “Pfizer“
Search for experts working on “machine learning” at “Amazon“
Search for experts working on “machine learning” at “University of Massachusetts Amherst“
Try it myself for millions of orgs (find target org first, and then click on i-Search to find experts)
Search for R&D work related to “vaccine” by “Pfizer“
Search for R&D work related to “machine learning” by “Amazon“
Search for R&D work related to “machine learning” by “University of Massachusetts Amherst“
Try it myself for millions of orgs (find target org first, and then click i-Search) to find related R&D