Empirical Hire utilizes machine-learning algorithms to analyze vast quantities of data to screen and select Sales and Service employees who will be the best fit for the job & organization and will persist longer, thus optimizing the hiring process and dramatically decreasing hiring costs. Empirical Hire’s machine-learning algorithms analyze essential performance drivers in your company and create a predictive model that identifies the candidates who mirror your top performers. Deep learning technology enables ongoing optimization based on actual performance data, helping you find better people faster. Empirical utilizes data and behavioral science to amplify your intuition and hire with accuracy, thereby increasing productivity and improving retention.
Applicants take a 10-minute assessment based on behavioral science; the test includes only questions with high-predictive power to support a seamless hiring experience for applicants. The test measures things like emotional intelligence, emotional stability, persistence, and motivation. Recruiters get a detailed report regarding applicant’s predicted fit and retention. The report includes recommended interview questions to help you dig deeper into applicant’s strengths and weaknesses. Employees’ performance data is continually streamed to Empirical Hire’s AI system and used to improve the recruiting process and its predictive power.
Empirical Hire is headquartered in Tel-Aviv, Israel and was founded in 2017. Specialties include: People Analytics, Algorithms, Machine Learning, Human Resources, and HR Technology.
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