Clustree is an automated HR recommendation platform founded in 2013. Clustree’s AI Career Coach leverages algorithms and machine learning to detect employees’ skills and appetencies and recommend internal job opportunities, training courses, mentors or career paths.
Clustree makes recommendations from any type of data, even incomplete data. It merges multiple sources to extract and unify data from all the HRIS tools into a single employee profile. Clustree structures the data by translating raw data into universal skill and job archives. Automatic hidden skill detection in offers and profiles is detected using NLP (Natural Language Processing) algorithms and skill prediction based on job titles.
Multiple recommendation algorithms are implemented simultaneously. These algorithms will process different parts of a profile, such as skills, job titles or wishes, and extract as much information as possible from these elements. Clustree uses automatic learning from product usage, which allows recommendations to be refined over time and adapted to the company’s practices and culture. A prior algorithm is used for weighing between skills, experience or training through user feedback matches to understand the important components and highlight them in recommendations.
Clustree raises a $7,900,000 series A round from Creandum, IDInvest Partners and Alven Capital.
Bénédicte de Raphélis Soissan
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