GrabJobs, a Singapore-based mobile-first Job Platform focused on entry to mid-level jobs, today announced a round of funding in 2018 that has raised US$930k from seed funding, bringing total funding to over SGD$2.5 million.
The funds will be used for continuing product development and refinement for their
GrabJobs platform. To this end, they will be integrating Natural Language Processing
(NLP) and Machine Learning technologies into their signature interview chat bot.
This will be created in partnership with Mr. Erik Cambria, Associate Professor in Artificial Intelligence at NTU.
GrabJobs will soon launch a major product feature that aims to revolutionise recruitment by eliminating the need to apply for jobs with a CV.
Job seekers for high-volume recruitment jobs, such as retail and F&B services, will benefit from this feature as it allows them to apply for jobs quickly, without the need to create and craft a CV. Relevant questions will be managed through the chat bot in order to expedite the interview and screening process.
“We are proud to help high-volume recruiters hire faster and better. In 2019, we will also be expanding outside of our current markets in Southeast Asia by partnering with regional job sites to provide our services to recruiters in the region,” said GrabJobs CEO and Co-Founder Emmanuel Crouy.
Founded in July 2015, GrabJobs claims over 5,000 companies use its platform to simplify and cut down their hiring process from days to minutes. GrabJobs has won Best Job Portal and Best Recruitment Innovation at the Asia Recruitment Awards 2018, and Most Disruptive Innovation at the Singapore HR Awards 2018.
The company has raised a total of US$1.9 million in funding over five rounds that started in 2015. The latest funding its is biggest so far.