Deepbrain AI screenshot

What is Deepbrain AI?

Deepbrain AI is a video interviewing platform designed to automate and simplify the candidate screening process. It allows recruiters and hiring teams to conduct one-way or live video interviews with candidates, then analyse responses using AI-powered tools. The platform handles pre-screening through automated video questions, reducing the time hiring managers spend on initial candidate evaluation. It's aimed at recruitment teams in mid-sized and larger organisations looking to speed up their hiring workflow whilst maintaining security and data privacy. The tool provides analytics on candidate responses, making it easier to compare candidates and identify strong performers early in the recruitment funnel.

Key Features

Automated video pre-screening

send candidates a set of questions and collect video responses without live interaction

Live video interviews

conduct real-time interviews with candidates through the platform

AI-powered analytics

analyse candidate responses and generate insights to help with screening decisions

Security features

encrypted video storage and secure candidate data handling

Scheduling and coordination

manage interview calendars and send automated invitations to candidates

Response comparison tools

review and compare multiple candidate responses side-by-side

Pros & Cons

Advantages

  • Reduces time spent on initial screening by automating the first round of interviews
  • Provides a consistent candidate experience with standardised questions for all applicants
  • Offers both asynchronous and live interview options, giving flexibility in how you conduct interviews
  • Analytics help identify patterns in candidate responses, supporting more objective hiring decisions

Limitations

  • Automated screening may miss detailed candidate qualities that show better in conversation
  • Requires candidates to be comfortable recording themselves on video, which may disadvantage some applicants
  • Integration with existing applicant tracking systems may require additional setup or manual data transfer

Use Cases

Large-scale recruiting where screening hundreds of initial applications manually is impractical

Remote hiring teams needing a standardised way to evaluate candidates across different time zones

Graduate recruitment programmes where consistency in candidate evaluation is important

Tech companies and startups conducting technical screening interviews at scale

Organisations looking to reduce hiring bias by using standardised questions and AI analysis