Mira

Mira functions as a comprehensive AI researcher, designed to streamline and enhance the entire qualitative research process. It goes beyond traditional AI tools that merely provide interview transcripts by offering a full-cycle solution. This includes planning research studies, recruiting participants from a vast global panel of over 100 million individuals across 120 countries, and conducting dynamic, intelligently moderated interviews. A key differentiator is Mira's ability to capture not only what participants say but also how they feel in real-time, utilizing advanced technologies like facial coding, voice emotion AI, and webcam eye tracking. The core problem Mira addresses is the inherent limitation of self-reported data in research, often referred to as the 'Say-Do Gap.' People may say one thing but feel another due to social desirability, rationalization, or simply the difficulty of accurately articulating their internal state. Traditional research methods often accept this filtered or edited self-reporting. Mira was developed to overcome this by capturing genuine emotional responses, providing a more accurate and nuanced understanding of participant experiences. Mira's capabilities are built upon several advanced features. Its study planning and global recruitment module allows for the efficient setup of research projects and access to a diverse participant pool worldwide. The AI-moderated interviews are dynamic, meaning the AI can probe deeper based on participant responses, ensuring that crucial follow-up questions are asked. The multi-modal emotion capture is a cornerstone of Mira's offering, integrating facial expression analysis, vocal tone and inflection analysis, and eye-tracking data to create a holistic view of a participant's emotional state. This allows the AI to detect subtle discrepancies between verbal statements and non-verbal cues. Furthermore, Mira excels in automated analysis and reporting. It automatically extracts themes from the collected data and generates insights, significantly reducing the manual effort required in qualitative research analysis. The system produces comprehensive research reports, consolidating all findings, emotional data, and thematic analysis into an easily digestible format. This automation accelerates the delivery of research outcomes, enabling faster decision-making. Mira's unique approach lies in its ability to triangulate data from multiple sources—verbal responses, facial expressions, voice modulation, and eye movements. By fusing these signals, it aims to provide a more robust and reliable understanding of participant sentiment than any single modality could offer. The system is built on 17 patents, underscoring its innovative technological foundation. The benefits for users are substantial. Mira enables researchers to uncover deeper, more authentic insights by capturing true emotions and detecting the Say-Do Gap. This leads to more accurate product development, more effective marketing strategies, and improved user experiences. The automation of recruitment, moderation, and analysis saves considerable time and resources, allowing research teams to focus on strategic interpretation rather than manual data processing. Concrete use cases for Mira include understanding why users say they like a product but exhibit signs of confusion, identifying points of friction in usability testing that participants don't verbally express, and gauging true brand sentiment beyond stated preferences. It is also valuable for concept testing, where emotional reactions can be more telling than stated intentions. Mira supports over 70 languages and has been trusted by over 150 global brands, including Unilever and Nestlé. The platform operates via a web interface, making it accessible remotely. While specific pricing tiers are not detailed here, the mention of a 'First study free — PH20' offer suggests a freemium or trial model. In essence, Mira empowers researchers with an AI-driven platform that not only moderates interviews but also deciphers the complex emotional landscape of participants, delivering richer, more reliable insights than ever before.