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Founded | 2016 |
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People | 8 |
Location | Karnataka , India |
Sector | Information Technology and Services |
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Fastnext uses an omni-channel approach to aggregate active candidates, passive candidates and active applicants and then apply AI algorithm to identify top candidates.It offers a matching engine, powered by Machine Learning, to analyze millions of developer profiles to find the perfect candidate for the company's requirements.
To have maximum coverage, Fastnext aggregate candidates from across the web. The platform match candidates based on parameters like culture, leadership quality etc. Fastnext enables recruiters to have a streamlined workflow to find the best candidate.
Mercurial
It is a Machine Learning engine that predicts the likelihood of a candidate being receptive to a switch to the user’s company.
SkillNet
It offers Deep neural nets for better understanding of candidate skill profiles and job descriptions.
Equilateral
Equilateral maintains the portfolios and work history of more than 300 million candidates across 30 social sites. It assesses and ranks a person based on their work in a particular skillset, scholastic aptitude etc. It brings a candidate’s entire online portfolio in one place for the recruiters, helping them save time