Razoroo | AI Recruiting

Ranks and scores candidates based on organization-specific weighted criteria defined by recruiters. Uses deep learning to evaluate how well each candidate matches your custom hiring priorities rather than applying generic scoring rules.

Automatically identifies and extracts relevant skills, experience, and qualifications from resumes and candidate profiles. Cuts through resume noise to surface the competencies that matter for your specific roles.

Evaluates candidates for cultural alignment with your organization based on indicators learned from your successful hires. Identifies soft skills, values, and work style indicators that predict cultural fit within your specific team.

Monitors AI recommendations and candidate rankings to identify potential discriminatory patterns or biases in the hiring algorithm. Flags decisions that may violate fair hiring practices or perpetuate historical biases.

Allows organizations to train custom deep learning models using data from their own successful employees. The AI learns from your specific hiring history to identify patterns that predict success in your organization.

Automatically moves candidates through screening stages based on AI-generated rankings and assessments. Reduces manual work by automatically advancing qualified candidates and flagging those who don't meet criteria.

Identifies which candidates are most worth recruiter time and attention by automatically handling initial screening. Frees recruiters from resume review to focus on relationship building and interviews with qualified candidates.

Provides reports and explanations of why candidates were ranked or scored a certain way. Helps recruiters and hiring managers understand the factors driving AI recommendations, though with some limitations in deep learning interpretability.