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AI-Powered Candidate Screening

Screen Every Applicant With AI Interviews

Post a job, let Edvenity send the interview, then review scored candidates in your hiring pipeline. Recruiters get structured screening while candidates complete the interview on their own time.

Secure interview linksAudio/video recordingAI scoringResume-aware questionsTranscript and recommendations

Edvenity Candidate Interview

Secure session

LIVE
Camera preview1080p

Technical Interview

AI is listening

Interviewer

Walk me through a React project where you improved performance for users.

You

I reduced unnecessary renders, moved derived state out of effects, and measured the impact with Core Web Vitals.

Interviewer

What tradeoffs did you consider before shipping that change?

04:12
Begin Session
Recommended: Strong Fit
Step by Step

From Job Post to Scored Interview

Edvenity keeps first-round screening structured: create the role, send the interview, let candidates complete it, then review the evidence.

Interview Intelligence

Turn Every Interview Into a Review-Ready Candidate Evaluation

After the interview, Edvenity turns raw responses into structured hiring evidence that recruiters can review quickly and challenge with human judgment.

Interview Overview

Alex Morgan · Product Designer

18m 42s · alex-morgan-product-designer.pdf

8.6

Recommended: Strong Fit

Confidence: High

Strength

Clear product thinking and strong examples from previous work.

Area for improvement

Could provide more specific metrics when discussing project outcomes.

RecordingTranscript

Overall Score

AI-generated score from the interview.

Hiring Recommendation

Decision, reasoning, role fit, and confidence.

Technical Assessment

Structured technical signals where available.

Strengths and Risks

What the candidate did well and where they need improvement.

Transcript and Recording

Replay the interview and inspect the source material.

Human Review

Recruiters can still add human judgment instead of relying only on AI.

Candidate Practice

AI Mock Interviews for Resume and Technical Practice

Candidates can practice before the real interview with resume-based mock interviews and tech-stack interview practice, using the same AI interview engine that powers recruiter screening.

Resume-Based Interviews

Questions use the candidate resume, projects, education, and work history.

Tech-Stack Practice

Technical interview practice by topic, difficulty, and evaluation criteria.

Live AI Voice Interview

Candidates practice in the same voice-led interview format used for screening.

Feedback History

Previous interview feedback helps candidates track progress over time.

Resume based interview

Practice questions focused on experience, projects, and role fit.

Tech Stack based interview

Technical questions matched to selected technologies and difficulty.

Practice Session

Frontend Engineer Interview

Live

AI

Walk me through a React project where you improved performance.

Candidate

I reduced unnecessary renders by moving derived state out of effects and simplifying component boundaries.

Candidate Pipeline

See Interview Results Where You Already Track Candidates

The interview result becomes part of the candidate card, so recruiters can compare fit score, interview score, and assessment score from the same board.

  • Interview score shown as a color-coded signal next to fit score.
  • Drag candidates to In Conversation, Hired, or Rejected without leaving the board.
  • Skills assessment score, if enabled for the job, shows on the same card.

Applied

Jordan Lee

Fit 7.2

Interviewed

Alex Morgan

Fit 8.9Interview 8.6Assessment 91

In Conversation

Priya Shah

Fit 8.1Interview 7.9Assessment 84

Works Alongside Skills Assessments

If a job has a skills assessment enabled, the assessment score appears beside the interview score on the same pipeline card.

See Skills Assessments
Interview Workflows

Screening and Practice Workflows in One Place

Edvenity supports recruiter screening and candidate practice without making teams stitch together separate interview, scoring, transcript, and review tools.

01

Recruiter-led screening

Connect AI recruitment software workflows with scores, transcripts, and review steps recruiters can trust.

02

Structured AI interviews

Run consistent AI interview software sessions with recordings, summaries, and role-based evaluation.

03

Consistent candidate review

Standardize candidate screening platform signals so every applicant is measured against the same role context.

04

Candidate practice

Give candidates an AI mock interview platform for resume-aware and tech-stack practice before the real conversation.

FAQ

Frequently Asked Questions

An AI interview platform helps recruiters conduct structured interviews using an AI interviewer. Candidates answer questions through a secure interview link, and the platform generates recordings, transcripts, scores, feedback, and hiring recommendations for review.

Start AI Interviews From Your Next Job Post

Screen applicants with structured AI interviews, then review the strongest candidates from the same hiring pipeline.

Start Hiring Smarter
No credit card requiredSetup in minutesRecruiter and candidate workflows