AI Scoring & Matching

When a candidate applies, Scovai's AI analyzes their CV against the position requirements across 5 configurable dimensions: Technical Skills, Experience, Education, Soft Skills, and Potential. Each dimension receives a score from 0 to 100, accompanied by a detailed plain-language explanation.

Every score generated by Scovai includes a written rationale explaining exactly why that score was given. For example: 'Candidate shows strong React proficiency (95/100) based on 5 years of enterprise experience. Adjusted for limited GraphQL exposure (−4 pts), compensated by solid REST API background (+2 pts).' There are no black boxes.

Yes. Each of the 5 scoring dimensions can be weighted to match your priorities. If a role values technical skills over formal education, you can increase the technical weight and reduce the education weight. The total always sums to 100%.

Scovai converts every CV into a 768-dimensional vector embedding that captures semantic meaning — not just keywords. This means a 'React developer' profile will match with a position requiring 'Frontend engineer experienced in React.js' even without exact keyword overlap.

Scovai uses contextual understanding, not simple keyword matching. The multi-dimensional scoring approach combined with XAI rationale provides recruiters with full transparency to validate every result. Accuracy improves continuously as the system processes more data within your organization.

Scovai includes real-time bias monitoring on every scoring decision. Demographic distributions (gender, age) are tracked and statistical anomalies are automatically flagged. The system evaluates skills and qualifications — not personal characteristics.