AI Candidate Scoring Built Around Your Ideal Candidate Profile
Define what the ideal candidate looks like, weight the criteria that matter most, and let Recruitera score applicants against your own hiring priorities — while your recruiters stay fully in control of the final judgment.
AI should support recruiter judgment — not replace it.
Your team defines the Ideal Candidate Profile, decides what matters, sets the weighting and reviews the candidate behind the score. Recruitera helps make screening faster and more consistent, while the hiring decision stays with your people.
You define what "the right candidate" means. AI does the screening.
Build the Ideal Candidate Profile for the role.
Define what a strong candidate should look like before applications start coming in. Build the profile around the skills, experience, achievements, education, keywords and job relevance that actually matter for the vacancy.
Decide what matters most — and weight it accordingly.
Give each scoring category its own importance so a critical technical skill can carry more weight than a secondary requirement. Your criteria combine into a total 100% scoring strategy for the role.
Go deeper than category-level scoring.
Add individual criteria inside each category and define whether the candidate must fully meet it, can partially meet it, or should be disqualified if an essential requirement is missing.
Let AI prioritize. Let recruiters decide.
Recruitera scores candidates against the criteria your team configured, helping recruiters understand who appears more aligned with the role. The score is a screening signal, not a hiring decision.
Understand the person behind the score.
AI Candidate Summaries give recruiters a faster overview of the candidate's background, experience and relevant context, so the team can review the profile with more understanding before making any decision.
Use AI to screen faster without giving up human judgment.
Your criteria, weighted your way, with recruiters making the final call.
Your criteria stay in control
AI evaluates candidates using the hiring strategy your team defines.
AI prioritizes, humans evaluate
Use the score to focus attention, not replace assessment.
Keep context around the score
Understand why a candidate looks relevant before acting.
Make decisions with more focus
Spend recruiter judgment where it matters most.
Related features
Let AI handle more of the screening. Keep the judgment human.
Build your Ideal Candidate Profile, prioritize candidates faster and give your recruiters more time to focus on the decisions that require human judgment.
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Your team first defines the criteria for the ideal candidate and how important each criterion is. Recruitera then evaluates applicants against that role-specific scoring strategy.
Yes. You can build the criteria around what matters for the vacancy instead of relying on one generic scoring model.
Yes. Scoring categories can carry different percentages, allowing your team to give more importance to the requirements that matter most for the role while keeping the total scoring model at 100%.
Yes. For essential requirements, your team can define criteria where missing the requirement should disqualify the candidate, while other criteria can support full or partial matches.
AI Scoring evaluates how closely the candidate matches the criteria your team defined for the role. AI Candidate Summary gives recruiters a faster overview of the candidate's profile and background so they can understand the person behind the score.
No. Recruitera AI supports the screening process by scoring and summarizing candidates against criteria defined by your team. Recruiters and hiring managers review the candidate, consider the wider context and make the final hiring decision.