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m'AI'rit

GenAI based hiring co-pilot

Freemium
Screenshot of m'AI'rit

Description

m'AI'rit positions itself as a Generative AI-powered recruitment automation platform. Its core objective is to integrate with an enterprise's career page, converting it into a comprehensive, meritocratic hiring system that manages the entire recruitment lifecycle from a single point.

The platform employs Artificial Intelligence to streamline numerous hiring activities. Key functionalities include the automatic generation of job descriptions, distribution of these postings across various job boards like Google Jobs, and the automated creation and linking of both technical and behavioural assessments tailored to the job requirements. Additionally, m'AI'rit uses AI to evaluate candidate resumes against more than 10 criteria, mimicking the analysis of an experienced HR professional. It ranks candidates based on assessment results and resume relevance to facilitate objective shortlisting. The tool also incorporates features such as AI-driven proctoring for assessments, automated candidate rejection notifications, interview scheduling automation based on set criteria, and provides data-driven insights to help refine recruitment strategies, while aiming to minimize unconscious bias and enhance the candidate experience through automated communication.

Key Features

  • AI-Powered Job Description Creation: Craft precise and compelling job descriptions effortlessly.
  • Automatic Assessment Creation: Generate customized technical and behavioural assessments using GenAI algorithms.
  • Multi-Platform Job Posting: Seamlessly distribute postings across top job portals like Google Jobs.
  • AI-based Candidate Ranking: Utilize AI to rank candidates based on comprehensive analysis beyond simple keyword matching.
  • Resume Evaluation with 10+ Criteria: Evaluate resumes objectively with sophisticated criteria.
  • Machine vision and AI-based proctoring: AI-based summary of candidate's behaviour during test.
  • Automated Rejections and Interview Scheduling: Streamline processes with auto-rejection and automated interview scheduling.
  • Data-Driven Insights: Gain valuable insights into recruitment trends and performance metrics.

Use Cases

  • Automating the end-to-end recruitment lifecycle.
  • Improving candidate screening and shortlisting efficiency.
  • Enhancing merit-based hiring practices.
  • Reducing unconscious bias in recruitment.
  • Optimizing job posting visibility.
  • Streamlining candidate communication and scheduling.

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