RChilli, a renowned AI technology provider in the HR technology space, is excited to announce the expansion of its product offerings and the establishment of new server locations in Dubai and Mumbai.
Read MoreNavjot Kaur
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The LLM Parser excels in analyzing complex language structures and understanding context and relationships beyond mere keywords, which leads to parsing resumes with optimal accuracy.
Read MoreRChilli Adds Slovak to Its List of Languages Supported
RChilli's advanced parsing technology leverages machine learning algorithms and NLP (natural language processing) techniques to efficiently extract relevant information from resumes written in Slovak.
Read MoreISO 27001:2022 is the latest version of the internationally recognized information security standard. By achieving this certification, RChilli demonstrates its dedication to safeguarding sensitive.
Read MoreRChilli, a leading provider of parsing, matching and data enrichment, is thrilled to announce the addition of Czech to its ever-expanding list of supported languages.
After adding Vietnamese, RChilli can now also parse in Croatian. This new milestone will help the company fulfill its commitment to delivering AI-powered innovative solutions and meeting its.
Read MoreRChilli Adds Vietnamese to its List of Languages Supported
Building on the success of incorporating 40+ languages, RChilli's advanced parsing technology now empowers businesses in Vietnam and those engaging with Vietnamese-speaking candidates.
Read MoreThe decision to extend customer support to a 24x7 model aligns with RChilli's ongoing commitment to deliver exceptional service and support to its valued customers.
Read MoreWith the inclusion of Norwegian in its linguistic portfolio, RChilli now empowers businesses in Norway and those dealing with Norwegian-speaking candidates to access candidate data with unparalleled.
Read MoreWith the introduction of Ukrainian to its linguistic catalog, RChilli empowers businesses operating in Ukraine and those dealing with Ukrainian-speaking candidates to harness candidate data with.
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