Dyagnosys01
Explore meaningful signals
Investigate patterns across speech, expression and physiological research data while acknowledging each signal's limitations and context.
Human-centered AI research
See the signals.
See the signals.
Support the people.
Exploring how multimodal AI can help organizations better understand workplace well-being — with privacy, responsible research and human judgment at the center.
Built for thoughtful decisions, not automated diagnoses.
MULTIMODAL INSIGHTS
Research-led. Human-guided.Technology in service of well-being
What we explore
A clearer view of the human experience at work.
Workplace well-being is complex. Our research investigates how complementary signals can inform more thoughtful organizational conversations and support initiatives.
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Put insights in context
Consider trends alongside organizational factors. Signals alone are not medical diagnoses or judgments about individuals.
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Inform supportive action
Help teams ask better questions and design human-led well-being initiatives grounded in evidence and care.
From research to responsible use
Technology that keeps people in the loop.
Our approach is guided by the belief that useful AI should provide context and support — not replace professional expertise, consent or human care.
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Understand the questionBegin with meaningful workplace needs and the right research context.
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Examine complementary perspectivesStudy signals in combination, recognizing uncertainty and differences between people.
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Keep decisions human-ledTranslate learning into supportive conversations and considered action.
Our principles
Trust is part of the design.
Meaningful technology starts with boundaries, transparency, respect and an honest understanding of what AI can and cannot tell us.
Privacy and autonomy
We approach the handling of personal and sensitive information with care. Privacy, purpose limitation and consent should shape the use case.
Responsible interpretation
Statistical signals may be incomplete or misleading. Outputs require context, validation and appropriate human oversight.
Research and collaboration
We welcome conversations with organizations and research partners interested in responsible advances in workplace well-being.
Important distinctionThis is a corporate and research overview. It is not a medical device, diagnostic service or substitute for a qualified professional.
Explore what's possible
Email our team
A better conversation starts here.
Interested in a research collaboration, a workplace well-being initiative or a technology partnership? Reach us directly — no sign-in or web form required.