DeepBrain Al Interview

DeepBrain Al Interview is an AI  tool in HR  designed to simplify and streamline the interview process. This tool employs advanced artificial intelligence to assist employers in conducting interviews and assessing candidates more effectively.

With DeepBrain Al Interview, users can create customized interview questions and scenarios tailored to the specific job role they are hiring for. The AI tool then facilitates interviews by presenting these questions to candidates through various mediums, such as text, voice, or video. This  video interviewing platform  records and analyzes the candidate's responses, evaluating not only the content but also the candidate's communication skills, confidence, and other relevant attributes.

One of the key features of DeepBrain Al Interview is its ability to provide real-time feedback and analysis. Employers can receive instant insights into a candidate's performance, allowing for more informed hiring decisions. This tool also helps in reducing bias by focusing on objective criteria during evaluations.

• Streamlined Hiring Process: DeepBrain Al Interview can assist HR professionals and recruiters in conducting interviews more efficiently. It helps in creating standardized interview questions and evaluating candidate responses, making the hiring process smoother.
• Candidate Assessment: This tool can analyze candidate responses to interview questions, providing insights into their communication skills, knowledge, and suitability for the role. It aids in making informed hiring decisions.
• Interview Training: DeepBrain Al Interview can be used to train individuals in interview techniques. Users can practice answering common interview questions and receive feedback to improve their interview skills.
• Mock Interviews: Students and job seekers can simulate real job interviews with DeepBrain Al Interview. It can provide feedback and suggestions to help them prepare for actual job interviews.
• Quality Control in Customer Support: Companies can use this tool to assess the performance of customer support representatives during mock customer interactions. It helps in identifying areas for improvement in customer service.
• Performance Appraisals: DeepBrain Al Interview can assist managers in conducting performance appraisal interviews with employees. It ensures that the appraisal process is fair and consistent.
• Training and Development: Organizations can use this tool to create training modules for employees. It helps in developing training materials and assessing employees' understanding of the content.
• Educational Assessments: Educational institutions can employ DeepBrain Al Interview to assess students' knowledge and skills through simulated interview scenarios. It aids in evaluating student performance and providing constructive feedback.
• Language Learning: Language learners can use this tool to practice conversational skills. It can engage in dialogues, correct pronunciation, and help learners improve their language proficiency.
• Market Research Interviews: Researchers and analysts can conduct mock interviews with DeepBrain Al Interview to gather insights from participants in a standardized manner, ensuring consistency in data collection.
• Compliance Checks: DeepBrain Al Interview can be used to assess employees' understanding of compliance regulations and company policies, helping organizations ensure adherence to legal and ethical standards.



DeepBrain AI offers several subscription plans for its AI Studios platform.

• The Starter plan: aimed at individuals, is available for $24 per month when billed annually, providing up to 10 minutes of video per month.
• The Pro plan: designed for teams and SMBs, costs $180 per month, also billed annually, offering up to 90 minutes of video per month.
• For enterprises seeking customized solutions, DeepBrain AI provides an Enterprise plan with custom pricing.

Each plan includes access to over 100 AI avatars, more than 80 languages, and no watermark on videos.



The DeepBrain AI team, known as Deep.In. within the company, demonstrates a strong sense of camaraderie and collaboration among its members. The team is involved in various innovative projects, focusing on the development and application of AI Human technology, including voice synthesis systems and NLP for Chatbots. Members like Nam Kyu-hyun and Park Sung-woo, researchers on the Deep Learning Team, play significant roles in the advancement of video and voice synthesis solutions, working on architecture development and data preprocessing methodologies.

The company's environment encourages continuous self-improvement, with a culture that appreciates the welfare and development of its employees, as highlighted by the provision of benefits like decorated workspaces and family days. DeepBrain AI's vision extends to becoming a global leader in synthetic human technology, with Jang, presumably a leading figure at DeepBrain AI, aiming for global expansion and becoming a unicorn company. DeepBrain AI's technology stands out for its realistic AI humans, capable of displaying facial expressions, dialogue intelligence, and emotions, powered by lip-sync image synthesis technology.

DeepBrain AI has also made significant strides in applying its technology across various industries, including finance, education, and media, with its value and recognition growing rapidly. The company's use of AI video synthesis technology for producing historical documentaries and its venture into the metaverse market demonstrate its innovative approach and commitment to developing highly intelligent and realistic avatars.

For those interested in the intersection of AI and human-like interaction, DeepBrain AI represents a fascinating and forward-thinking place of work, driving significant advancements in AI technology and its practical applications.



Nam Kyu-hyun

Co-Founder



Park Sung-woo

Machine Learning Engineer

DeepBrain AI, a tech company, has secured a total funding of $52 million across several investment rounds. Here's a breakdown of their funding journey:

1. Series B Funding (August 11, 2021):

   • Raised: $44 million
   • Number of Investors: 9
   • Lead Investors: IMM Investment and Korea Development Bank

2. Series A Funding (November 19, 2019):

   • Raised: $6.3 million
   • Number of Investors: 5
   • Lead Investors: Not specified

3. Seed Round (August 11, 2017):

   • Raised: $1.8 million
   • Number of Investors: 2
   • Lead Investors: Not specified

This strategic funding has enabled DeepBrain AI to grow and enhance its product offerings.