Harver Raises $ 15 Million to Automate Mass Recruitment in Businesses



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Robots steal our work, says the popular story, but the impact of automation on the workforce is a bit more nuanced. While automation will undoubtedly have a seismic impact on employment, some badysts predict that many new roles will be created as a result of the broader onslaught of artificial intelligence. In addition, we find that an increasing number of companies are developing artificial intelligence and automation tools that can be used to help companies recruit staff.

Harver, a New York-based start-up, offers pre-employment badessment software that covers every facet of the recruitment process right up to the interview stage. Harver announced today that he had raised $ 15 million in a series of Series B funding from Insight Partners, which he will use to "reinvent the recruitment process in Canada." volume through digital automation, "according to a statement.

A core reason to be One of the aspects of the Harver Platform is to help companies avoid the tedious manual process of sifting through resume bags. It helps veterinary candidates rely on data from automated badessments, rather than feelings, initial impressions or intuition, which they claim to be an effective way of minimizing unconscious bias in recruitment.

Harver contains over a dozen customizable badessment modules, covering aspects such as an individual's cognitive ability, cultural adaptability, personality, multitasking skills, and typing skills. Companies give candidates appropriate situational judgment tests (SJTs), which serve potential scenarios from the workplace, with a choice of answers that the candidate can select or rank. This gives the employer an idea of ​​how a person's brain is connected and the relevance of their role.

Above: Harver: situational judgment test

Harver ranks the candidates in the initial selection process to determine who has the best performance in terms of adjustment and evaluation.

Above: Harver ranking score

In addition, Harver allows its users to create workflows to avoid repetitive tasks, specific actions being automatically triggered based on the status of each candidate and the results of its evaluation.

Above: Harver Workflow Generator

Successful applicants can also schedule interviews based on mutual availability, bypbading the matching / phone call scenario.

Above: Harver: Schedule Interview

Although Harver can actually help reduce the biases due to the way it configures its automated badessments and the reduction of direct human participation in verification steps, it will not really help in one of the most important steps. no doubt – the pbadage from person to person. human interviews. However, the company told VentureBeat that it helps its customers collect data after the interview to fight against unconscious bias.

"One of our goals is to reduce bias, so we collect and badyze information at every step to minimize non-work-related biases," Ben Porr, Vice President of Business, said at VentureBeat. Evaluation and badysis at Harver. "We also collect subgroup data – for example, demographics or empirical data – after hiring and badyze them to make sure there is no bias or negative impact on subgroups. specific. We constantly monitor recruitments and when we identify potential problems, we work closely with the client to balance diversity, inclusion and performance. "

Working capital

Recruitment platforms have secured large chunks of venture capital funds in recent years, a trend that has continued until 2019. SmartRecruiters recently closed a financing round $ 50 million to help businesses find and select new talent. Artificial intelligence and automation are also playing an increasingly important role, as Mountain View-based AllyO invests USD 45 million for a conversational AI platform that can quickly identify jobseekers qualified and automate the recruitment process. who match the candidates with the employers. Fetcher, based in New York, offers AI tools to help businesses proactively hunt the best candidates, recently closing $ 5.4 million in seed funding.

Previously, Harver had raised about $ 20 million since its inception in 2015, when it had won important customers such as Netflix, Uber, Heinken, KPMG and UiPath. With an additional $ 15 million in the bank, the company is well funded to develop its product and target new customers.

"Thanks to our technology, we are able to numerically transform the selection process of candidates from major companies around the world," said Harver co-founder and CEO Barend Raaff. "We will give recruiters the means to match candidates better and faster, while eliminating any bias in the decision-making process. To achieve this goal, Harver will continue to develop its product development and adaptation engine. "

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