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What is AI Interview By DeepBrain?

AI Interview is a hiring tool from DeepBrain that automates parts of the interview process using AI. It's designed to help recruiters and hiring teams screen candidates more efficiently by conducting and analysing interviews at scale. The tool uses AI to conduct video interviews, ask standardised questions, and assess responses, which can reduce the time spent on initial screening rounds. It's aimed at companies looking to speed up recruitment, particularly those handling large volumes of applications. The system works on a freemium model, allowing teams to test basic functionality before committing to paid features.

Key Features

AI-conducted video interviews

Automated interviews that ask candidates predefined or customised questions

Response analysis

AI evaluates candidate answers against set criteria to score suitability

Standardised questioning

Ensures all candidates face consistent questions and assessment

Candidate scoring and ranking

Automatically ranks applicants based on interview performance

Interview scheduling

Reduces back-and-forth by allowing candidates to interview on their own schedule

Pros & Cons

Advantages

  • Saves time on initial screening by automating first-round interviews
  • Reduces bias by using consistent questions and standardised evaluation across all candidates
  • Scales easily for high-volume recruitment without proportional increase in recruiter workload
  • Freemium model allows teams to trial the tool before paid commitment

Limitations

  • Automated interviews may miss detailed communication skills or cultural fit that human interviewers catch
  • Candidates may find AI interviews impersonal or less engaging than speaking to a human recruiter
  • Over-reliance on AI scoring could eliminate qualified candidates who don't perform well on video or answer in unexpected ways

Use Cases

Large companies screening hundreds of applications for entry-level or graduate positions

Quick initial filtering before human interviewers conduct deeper conversations with shortlisted candidates

Remote-first companies wanting to standardise screening across different time zones

Roles with high application volumes where manual screening becomes a bottleneck