Our Talent Experience Platform optimizes the path of your talents, from their recruitment to their evolution in the company.
© 2020 EASYRECRUE
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.
Criteria analyzed
Our machine learning algorithm analyzes social signals and candidates' speech: verbal content (semantics, diversity in vocabulary etc.) and non-verbal content (prosody: rhythm, tone, intensity etc.).
The machine learning model was built in partnership with internationally recognized French engineering schools and research centers: CentraleSupelec, Télécom ParisTech and the French National Center for Scientific Research (see our R&D committee below). The R&D committee was awarded several times for their research on this topic at the most important artificial intelligence conferences around the world - WACAI, AAAI, ACII Cambridge.
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?
- Candidates do their video interview
- AI analyzes their answers
- See the recommended candidates
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.
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.
3 - You see the AI-recommended video interviews at the top of the list
After being fully trained on the product, the recruiter sees the video interviews in order of recommended best-fit rather than chronological order on the EASYRECRUE platform.
The recruiter has access to dashboards detailing each criterion taken into account to analyze a candidate's performance.
OUR R&D COMMITTEE
Nikos PARAGIOS
Professor Emeritus in computer science and mathematics
CentraleSupélec
Jean-Claude MARTIN
Professor in computer science
LIMSI CNRS
Chloé CLAVEL
Lecturer-researcher in Affective Computing
Télécom ParisTech
Léo HEMAMOU
PhD student in CIFRE
R&D Department at
EASYRECRUE
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