Invention Grant
- Patent Title: Systems and methods for data-driven identification of talent
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Application No.: US16013784Application Date: 2018-06-20
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Publication No.: US11030554B2Publication Date: 2021-06-08
- Inventor: Frida Polli , Julie Yoo
- Applicant: PYMETRICS, INC.
- Applicant Address: US NY New York
- Assignee: PYMETRICS, INC.
- Current Assignee: PYMETRICS, INC.
- Current Assignee Address: US NY New York
- Agency: Perkins Coie LLP
- Main IPC: G06Q10/10
- IPC: G06Q10/10 ; G06Q10/06 ; G09B7/02 ; A63F13/46 ; G09B7/00 ; G06Q50/20 ; A63F13/80 ; G06F16/904

Abstract:
The present disclosure describes talent-identification systems and methods that can be used by companies to assist in the recruitment process for new employees. Additionally, the systems and methods can be used by job seekers to determine ideal career fields and industries. The systems and methods may employ an array of neuroscience-based tests to assess a user's career propensities, after which the systems and methods can provide career recommendations to the user or report on employment suitability of the user to a company.
Public/Granted literature
- US20190026681A1 SYSTEMS AND METHODS FOR DATA-DRIVEN IDENTIFICATION OF TALENT Public/Granted day:2019-01-24
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