Using Natural Language Processing (NLP), our algorithm analyzes reflections, assessments, and Q&A — even when stress makes it hard for professionals to find the right words. It also tracks behavioral patterns such as login frequency and interaction pace, providing a real-time, personalized risk score that adapts with each new interaction.
Our algorithm is designed to detect early signs of stress, reduced resilience, or potential mental health risks. Built on evidence-based models such as Cognitive Behavioral Therapy (CBT), Positive Health (IPH), and Behavioral Activation, it combines proven psychology with advanced AI. Preventing people from getting ill and keeping their mental well-being up doesn’t allow any delays.
The system is transparent, privacy-first, and always keeps a human in the loop. This ensures reliable insights that support prevention, strengthen coping mechanisms, and reduce the risk of mental health fall-out..