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Clustree

Clustree

Clustree is an automated HR recommendation platform.

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Contents

clustree.com/en
clustree.com
Is a
Organization
Organization
Company
Company

Company attributes

Industry
Consulting industry
Consulting industry
Software as a service (SaaS)
Software as a service (SaaS)
Analytics
Analytics
Human resources
Human resources
Artificial Intelligence (AI)
Artificial Intelligence (AI)
Talent management
Talent management
Cloud computing
Cloud computing
Software
Software
...
Location
France
France
Paris
Paris
0
Île-de-France
Île-de-France
B2X
B2B
B2B
CEO
Founder
Bénédicte de Raphélis Soissan
Bénédicte de Raphélis Soissan
AngelList URL
angel.co/clustree-1
Legal Name
Clustree SA
Date Incorporated
October 25, 2013
Number of Employees (Ranges)
11 – 50
Email Address
hello@clustree.com
Phone Number
+18883652763
Full Address
42 rue du Faubourg Poissonnière, PARIS, Ile de France 75010, FR0
Place of Incorporation
France
France
Investors
Alven Capital
Alven Capital
The Family
The Family
Creandum
Creandum
IDInvest Partners
IDInvest Partners
Founded Date
2014
0
Total Funding Amount (USD)
11,455,000
Latest Funding Round Date
June 2017
Latest Funding Type
Series A
Series A
Wellfound ID
clustree-1
Country
France
France
Headquarters
Paris
Paris

Other attributes

Blog
clustree.com/fr/news/
Company Operating Status
Active
Latest Funding Round Amount (USD)
7,900,000

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.

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Funding Rounds

Products

Acquisitions

SBIR/STTR Awards

Patents

Further Resources

Title
Author
Link
Type
Date

Clustree

https://www.facebook.com/Clustree

Web

References

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