Explore meaningful signals
Study speech, facial-expression and physiological patterns as complementary sources of insight, rather than isolated indicators.
Dyagnosys explores multimodal AI signals to help organizations understand workplace stress and make more informed well-being decisions. Built around responsible technology and human-centered support.

A simple perspective on how AI-assisted signals can help teams plan thoughtful, data-informed well-being initiatives.
Study speech, facial-expression and physiological patterns as complementary sources of insight, rather than isolated indicators.
Use contextual and aggregated information to understand emerging workplace well-being trends and support responsible interpretation.
Translate insights into supportive initiatives, while keeping human judgment and individual privacy at the center.
We focus on privacy-conscious, multimodal approaches to workplace mental well-being, pairing technical exploration with practical organizational needs.
Interested in a partnership, research collaboration or workplace well-being technology? Contact our team directly. No account, sign-in or web form required.