InterviewMate

Introduction to InterviewMate

InterviewMate is a real-time AI assistance tool designed to support users during live interviews. It processes spoken questions from interviewers and generates contextually relevant, personalized responses within two seconds. The system is intended for professionals, students, and applicants preparing for high-stakes evaluative conversations—including job interviews, academic defenses, visa interviews, and school admissions.

Unlike practice-oriented platforms, InterviewMate operates during actual interviews conducted over video conferencing tools. It does not replace user participation but provides on-demand answer suggestions based on the user’s background materials. The solution emphasizes privacy: audio is not recorded or stored, and processing occurs in real time with no persistent data retention.

Key Takeaways

• Real-time speech-to-text transcription using Deepgram Flux (latency under one second)
• Context-aware answer generation powered by Anthropic’s Claude 3.5 Sonnet
• Retrieval-Augmented Generation (RAG) architecture that incorporates user-uploaded documents (e.g., resume, thesis, job description)
• No subscription model—pay-per-session pricing with no recurring fees
• Compatible with major video conferencing platforms including Zoom, Google Meet, Microsoft Teams, and Webex
• Responses are personalized to reflect the user’s background, experience, and communication style
• End-to-end processing occurs locally or in ephemeral cloud sessions; no audio recordings are stored

How InterviewMate Works

InterviewMate follows a three-stage workflow. First, users upload contextual materials such as their resume, target job description, company information, or academic documents. These inputs are indexed and used to ground the AI’s understanding of the user’s background. Second, prior to the interview, the system generates a set of personalized question-and-answer pairs—typically 30+—to help users anticipate likely topics and phrasing.

During the live interview, InterviewMate listens to the interviewer’s spoken questions via the device’s microphone. Using Deepgram’s speech recognition engine, it transcribes the question in real time. That transcription is then passed to Claude 3.5 Sonnet along with the user’s contextual documents via RAG. The AI synthesizes a concise, natural-sounding response tailored to both the question and the user’s profile, delivering it to the user’s interface in under two seconds.

Core Benefits and Applications

InterviewMate supports a range of formal evaluative settings where preparation and authenticity matter. For job seekers, it assists across industries including technology, finance, and consulting. Academic users apply it during PhD thesis defenses, committee meetings, and graduate admissions interviews. Immigration applicants use it for embassy or visa interviews requiring precise, consistent self-presentation. Students also benefit during undergraduate and MBA admissions interviews.

The platform’s core value lies in reducing cognitive load during live interactions while preserving user agency: suggestions are displayed for review and adaptation, not automated delivery. Its pay-per-session model ensures accessibility without long-term financial commitment, and its cross-platform compatibility eliminates setup friction across common remote interview environments.

Note: The LAUNCH50 discount is valid until January 30, 2026.