Worcket uses AI and machine learning to better match employers and employees

This article was written and published in Spanish and has been translated into English via Google Translate. Click here to read the original article.

Worcket seeks to refine searches to generate a more precise match between companies and candidates, through artificial intelligence and machine learning.

In the more than 10 years that Argentine Gonzalo Agüero worked around the world as a human resources specialist for firms such as Quilmes, Accenture and Softline, he always found that although there were tools to automate at least 80% of the process of selection of candidates, companies continued to do so manually and disintegrated.

"They had four or five different suppliers for the different steps in the selection process. There I thought about creating a platform that groups all those suppliers through technology," says Agüero about the beginning of Worcket, a platform that already works in eight countries Latin America and invoices US $ 1.2 million annually.

Worcket seeks to generate an increasingly precise match between companies and candidates, through artificial intelligence and machine learning. It also provides tools so that the human resources departments of companies can range from taking a language interview to interpreting the emotions of the applicant. "Our goal is that neither of the two parties waste time. Nobody wants to go to an interview in which it is evident that they will not take it later and the company also does not want to interview people who do not meet the requirements they are looking for," Agüero sums up .

To form Worcket, Agüero partnered with programmer Leandro Boffi and after a year and a half of their own development they launched the first test. The third partner is Nicolás Cirigliano, also Argentine, who was the first "angel investor". Today the company has already raised US $ 3.1 million in investment, with the last large injection of US $ 1.5 from NXTP Ventures.

In addition to Argentina, the platform is operational in Mexico, Panama, Chile, Colombia, Ecuador, Peru and is closing its first clients in Uruguay. Worcket is not a job bank, but works from the activation of a particular search that makes a company within the platform and circulates through a link. Those interested apply by linking their Linkedin information or by uploading the CV.

The company can design a selection to suit you, defining what features of the platform you want to use. For example, you can choose as a first instance a video interview, in which a virtual assistant asks previously defined questions to the candidate and by means of an algorithm collates the answers with the selection parameters. The selection process can continue, for example, with a language test or with the management of a face-to-face interview, a final instance that, for Agüero, is "fundamental" and does not want to be replaced.

"We have a virtual assistant who conducts video interviews and analyzes the emotions that the candidate has when speaking through non-verbal communication. Beyond what he says he interprets his gestures, his voice, his gaze and presents it to the company in report mode so you can get to know the candidate better, "explains Agüero.

According to Agüero, the platform reduces the time from when the vacancy is filled until it is filled by 57%. On the other hand, early turnover decreases: the number of employees who leave or are disconnected before three months is reduced by half and that also impacts costs. According to Agüero from the consulting firm Mercer, the termination of an employee costs nine times his salary.

This article was written and published in Spanish and has been translated into English via Google Translate. Click here to read the original article.

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