Curately AI leverages advanced machine learning techniques to transform both an individual’s resume/CV and job descriptions into detailed semantic representations. This process involves training neural networks on publicly available data and comprehensive job taxonomies to understand and accurately represent each skill. The platform generates a computed matching score by comparing the semantic representations of candidates' profiles with job requirements. This score reflects how closely an individual’s skills and attributes align with the needs of the specific job, without directly comparing candidates against one another. Additionally, recruiters can assign variable weights to different skills or attributes on a search-by-search basis, prioritizing those deemed most critical for the role.

While the primary function of Curately AI is to provide an accurate matching score using advanced artificial intelligence, it is crucial to recognize that this tool does not make or significantly assist in making employment decisions on its own. Curately AI specializes in analyzing and comparing candidates' profiles with job descriptions to generate a computed matching score that reflects the alignment of skills and attributes.

As part of our commitment to fairness and accuracy, Curately AI undergoes regular testing to identify and eliminate any potential biases in its matching algorithms. While the platform does not make employment decisions, ensuring that its scoring process is transparent and free from biases is essential for maintaining the integrity of the selection process.

Curately.ai provided historical data from applicants previously assessed by the system. The data file submitted contained 52,555 rows across 6811 jobs, with columns for company_name, job_position_name, user_id, gender, ethnicity, and user_job_score.

Original Sample Size: 52555
Number of Candidates with Unknown Characteristics: 756
Final Sample Size: 51799