Clinical validation, biometric research, and product updates on workplace mental well-being.
Our on-device AI-GAD-7 demo is grounded in clinically validated datasets — Bridge2AI-Voice and DAIC-WOZ / E-DAIC — developed under ethics-approved research programs. It processes locally, stores no sensitive media by default, and supports GDPR, LGPD, and UAE PDPL compliance frameworks for organizational well-being programs.
Validation study comparing FACS system and CardioWatch 287 for mental health assessment
This study dives deep into the potential of cutting-edge facial analysis and wearable monitoring technologies to revolutionize anxiety and depression screening in medical students. By comparing the accuracy, feasibility, and acceptability of these novel tools to gold-standard diagnostic questionnaires, we aim to lay the groundwork for more objective, efficient, and scalable mental health assessment that could enable earlier detection and life-changing intervention for struggling students. Rigorous methodology and a steadfast commitment to participant wellbeing and data ethics are at the heart of this groundbreaking investigation.
