MoSeeker AI Interview uses a multimodal analysis architecture. After video streams undergo Automatic Speech Recognition (ASR), NLP models conduct semantic analysis and competency evaluation on the text. The system is specifically optimized for Chinese spoken characteristics, effectively handling regional accents and colloquialisms.
Traditional video tools (like one-way recording) only solve scheduling flexibility and still require manual review of every video. MoSeeker adds an automated AI evaluation layer, allowing recruiters to only review pre-annotated, top-tier candidates, fundamentally improving efficiency.
MoSeeker AI Interview enables online self-service interviews, helping hiring organizations efficiently assess candidates’ abilities with both fairness and accuracy. It can be seamlessly integrated with various ATS and HCM systems, handling both campus recruitment and lengthy social recruitment processes with ease. Recruiters only need to configure the process in advance, and candidates can start their interviews anytime, anywhere, completing the entire process independently. The AI algorithms provide multidimensional assessments of candidates’ performance.
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Contact Sales To ensure the integrity of interviews, we have developed sophisticated anti-cheating mechanisms, including randomized questions, webcam monitoring, screen monitoring, and behavior detection, significantly reducing instances of cheating.

The AI interview system employs a comprehensive scoring framework that integrates basic multimodal, competency-based, and domain-specific models. Candidates are evaluated on multiple dimensions, including image (appearance), voice (speech), and content (text), allowing for in-depth talent assessment. By adhering to standardized evaluation criteria, the system helps minimize unconscious bias.
MoSeeker AI Interview features an integrated MoGPT—a powerful assistant skilled in providing feedback. Driven by an LLM, it conducts targeted assessments based on predefined scoring points, delivers detailed evaluations of candidates’ responses, highlights both strengths and areas for improvement, and assesses answer relevance, thereby enhancing selection accuracy.

The system can generate personalized interview questions for each position based on the job description (JD) and analyze the key points tested by each question. This provides inspiration for interviewers, and improves efficiency. In addition, our system also allows companies to import custom question banks.
* HR and interviewers only need to complete the steps highlighted in blue. Leveraging MoSeeker AI Interview, Danone has developed an automated system that allows candidates to interview on demand, 24/7, with in-depth competency assessments. Interview tasks are allocated by a smart scheduling system, eliminating the need for manual intervention.
Danone Automated InterviewMars handles tens of thousands of candidates during campus recruitment. Together, we have developed and iteratively refined an interview solution that automates and streamlines recruitment workflows, shortens the online application and initial interview cycles, and reduces costs.
Mars Campus Recruitment InterviewFrom candidate invitation to multi-dimensional evaluation, the entire interview process has been automated to meet international recruitment needs. In addition, MoSeeker has built a dedicated recruitment section within WeChat and customized an chatbot for rapid candidate response.
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