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Pulsifi: Predicting Talent:
Peter Yoong, Founder and Jay Huang, Co-Founder & CEOPulsifi is about realizing the pulse of people and organizations. “We believe that every person possesses a ‘pulse’ that explains what they are good at, what they like, and what potential they can achieve,” shares Peter Yoong, Founder of Pulsifi. To this end, the company’s Predictive People Analytics Platform melds the disciplines of organizational psychology, data science, and software technology for a holistic assessment of each candidate or employee. Each person’s profile on the platform comprises traits like competencies, experience and personality, as analyzed and predicted from the CV, publicly available social media data and footprint across the web.
Great organizations are made great by their people—engineers, designers, consultants, marketers, and every employee involved—and not by their products, services, or marketing strategies
Predictive algorithms are then used to connect the profile data with data on employees’ outcomes in the organization such as performance and retention. The sheer amount of data that can be aggregated about a single person is huge. Evaluating data on thousands, hundreds or even just tens of people is a tremendous and arduous task for HR personnel. Pulsifi’s AI transcends today’s norms by instantly delivering predictions on each person’s fit for the organization and the role he/she is pursuing.
The company’s web-based software is intuitive wherein a user can just drop in CVs to analyze the people deeper. Combining the CV with other publicly available information, the software then evaluates the minutest of details, from facts to expressions of language to uncover the person’s personality. To better understand these people, quick online assessments on personality, vocational interests, organizational values and cognitive abilities can be sent to them. The AI can predict outcomes such as if a person is likely to possess grit, be fit for leadership, suitable as a team player, motivated to learn, or comfortable with change. Huang says, “Our profiling framework draws on research-backed scientific methodologies as well as machine learning and language analysis to make predictions.”
Yoong elucidates the value of Pulsifi through the company’s contribution to Nestlé, for whom Pulsifi assisted in selecting the top one percent of thousands of applicants for one of the country’s top management trainee programs. While these programs typically require extensive manual processes to evaluate these thousands of applicants, Pulsifi provided a data-driven and automated approach. Pulsifi’s clients found that candidate selection quality increased by almost 100 percent, while efficiency gains translated to over 80 percent reduction in man hours and costs. Candidates also benefited from being informed of advancements to the next stage of the process much sooner, from 3 weeks to 3 days on average. In the near future, Pulsifi aims to introduce AI-driven functionalities for talent management and personalized learning and development. The company is also looking to expand into the US, Europe, and Australia in the next couple of years.
