Jobs: AI helps sort best performing, problem employees

Jessica Fenol ABS-CBN News

Posted at Apr 03 2018 09:32 AM | Updated as of Apr 04 2018 02:59 PM

Jobs: AI helps sort best performing, problem employees 1

MANILA - Technology entrepreneur Kathleen Yu turned a rejected thesis and $500,000 in seed funding into an artificial intelligence platform that helps employers identify the best possible new hire.

Rumarocket combines human intelligence and machine learning to understand the personalities and predict the future behavior of job applicants.

Based on habits, traits and past performance Rumarocket, for example, can predict who are most likely to quit or be tardy employees, Yu told ABS-CBN News.

The 5-year-old startup has been turning profits for 2 years, with fees of up to P500,000 per client every month, depending on their needs, she said.

Yu, 26, said Rumarocket hopes to "help companies recruit, retain, and incentivize their talents more effectively."

"A big part of it was, I didn’t see myself as a 'girl in the tech space,' but as a person who was interested in technology and wanted to be a part of building a technology that made people’s lives easier," she said.

"Being a woman in technology doesn’t make me particularly important or unique, because there are plenty of women in the space with a lot more experience than I," she said.

Jobs: AI helps sort best performing, problem employees 2
Rumarocket uses big data to predict top performing talents

Yu said her professor at the University of the Philippines, where she studied Communication Research, said her thesis proposal that would later lay the groundwork for Rumarocket was impractical.

She later sent her paper to a professor at the Massachusetts Institute of Technology who helped her develop the machine learning behind the platform.

Yu later secured $500 venture capital funding from SOS Ventures, AngelVest Group and 500Startups.

Aside from the Philippines, Rumarocket also has clients in Hong Kong and Singapore, spanning the pharmaceuticals, fast-moving consumer goods, banks, real estate and business process outsourcing.

Yu said her software helped a real estate company raise its workforce productivity to 97 percent from only 30 percent.