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RChilli
Match the right people to the right roles better, faster, and more responsibly

What is RChilli?

Leverage advanced AI for recruitment to enhance the accuracy, speed, and fairness of talent acquisition. This platform transforms hiring and talent deployment through sophisticated resume parsing, data migration, comprehensive data analysis, intelligent search and match capabilities, and a robust taxonomy system. Gain clearer insights into candidate profiles and their suitability for specific roles, making data-driven decisions to optimize the hiring workflow.

Boost talent acquisition efficiency by automating laborious tasks such as scanning thousands of resumes, migrating candidate data, cleansing information, and mapping skills. Instantly and accurately identify the best-fit candidates while actively reducing bias by automatically redacting sensitive information from resumes. Seamless integration capabilities ensure compatibility with existing HR and talent acquisition technology stacks, including platforms like Oracle HCM, SAP SuccessFactors, and Salesforce, supporting numerous languages and document formats for global operations.

Features

  • AI-Powered Resume Parsing: Extracts data accurately from resumes in over 40 languages and multiple document formats.
  • Enhanced Search & Match: Intelligently identifies and ranks best-fit candidates for job roles.
  • Data Migration & Hygiene: Automates the migration, cleansing, and analysis of candidate data.
  • Unbiased Hiring Tools: Features resume redaction to remove potentially biasing information (e.g., name, photo).
  • Seamless Integration: Connects with various HR tech stacks including Oracle, SAP SuccessFactors, and Salesforce.
  • Comprehensive Taxonomy: Utilizes an extensive skills and job title taxonomy for structured data.
  • Multi-Language Support: Parses resumes in 40+ languages and job descriptions in 26 languages.
  • Bulk Data Processing: Capable of importing and processing large volumes of resumes efficiently.

Use Cases

  • Automating resume screening and data entry for recruiters.
  • Improving candidate matching accuracy for open positions.
  • Enhancing data quality and consistency within Applicant Tracking Systems (ATS).
  • Implementing diversity and inclusion initiatives through unbiased hiring practices.
  • Streamlining data migration projects between different HR platforms.
  • Facilitating skill-based hiring by standardizing candidate data.
  • Enriching existing candidate databases with updated information.

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