AI-driven recommendations for your best candidates

Identify the best-fit candidates from an application pool

The life of a recruiter is filled with time-consuming tasks with low added value: publishing job offers, sorting CVs, and scheduling interviews.

Artificial intelligence is beginning to show its potential to help automate these tasks, and this is why we developed an AI-powered module for our on-demand video interviewing solution to rank and prioritize the best candidates based on their videos.

Our goal is to free up time for you to focus on the human side of recruiting.

THE PROMISE OF AI

Focus your time on what counts

Avoid cognitive bias

Hire for diversity

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Soft skills, at the heart of automation

Certain soft skills are a requirement for working in a corporate environment, such as communication, leadership and collaboration

We built a machine learning algorithmic model based on organizational psychology in order to study these social signals.

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Learning phase

Our machine learning algorithm has analyzed social signals for 9,000 anonymized video interviews that were evaluated by recruiters: the verbal content (semantics, singularity and lexical diversity) and non-verbal content (prosody).

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Automatically analyzing applications

Our AI algorithm ranks the on-demand videos based on the social signals it analyzes and holds out an attractive promise: helping recruiters find the best candidates more quickly, saving time for recruiters to focus on tasks with higher added-value, eliminating cognitive bias, and less subjective screeningrarie.

How does it work?

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1 - Candidates do their on-demand video interview

The candidate answers your questions during their video interview.

The process is identical to that of a regular on-demand video interview.

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2 - The AI analyzes and compares their answers

The video is anonymized. The AI analyzes the verbal and non-verbal content: prosody, lexical fields, etc. and ranks the candidates in your campaign in order of relevance.

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3 - You see the AI-recommended video interviews at the top of the list

The recruiter sees the video interviews in order of recommended best-fit rather than chronological order on the EASYRECRUE platform.

The AI algorithm continues to learn from the recruiter’s evaluations.

OUR R&D COMMITTEE

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Nikos PARAGIOS

Professor Emeritus in computer science and mathematics

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Jean-Claude MARTIN

Professor in computer science

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Chloé CLAVEL

Lecturer-researcher in Affective Computing

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Léo HEMAMOU

PhD student in CIFRE
R&D Department at EASYRECRUE

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