The Only Clinically Validated Vital Sign for Mental Health
We believe that our mental health should have the same priority as our physical health. We’re connecting the dots between the two – giving voice to a new standard of care.
Early identification of stress, anxiety, and depression
Harnessing the human voice as a biomarker for mental health and wellbeing along with machine learning and AI, Ellipsis Health generates a clinical-grade assessment of the severity of anxiety and depression, as well as a sub-clinical assessment of the severity of stress.
Now, through innovation we have a vital sign to help us better understand and care for our mental health and wellbeing.
The mental health epidemic is at an all time high,
impacting the wellbeing of our families, our friends and the productivity of society at large.
one struggles from the onset of mental health symptoms before they receive a diagnosis
of the US population is reporting mental health conditions, including 32% with depression or anxiety
Americans have a treatable mental health condition, but most don’t get identified
total annual costs for the US
Mental health screening is vital.
Today, there is no objective and scalable measure for the severity of anxiety and depression.
We’re solving that problem
Our technology identifies, measures, and monitors the severity of stress, anxiety, and depression at scale by analyzing a short voice sample – creating an objective and scalable clinical decision support tool.
Partnering with payers, providers, employers and digital health companies we are positively impacting the quality of care, shortening the time to diagnosis, driving workflow efficiencies, reducing costs and improving patient outcomes.
At a Glance
seconds of voice to identify mental health conditions
mental health conditions supported - stress, anxiety and depression
aspects of speech - our technology supports both acoustics and semantics
labeled minutes of speech and counting
issued US patents, a number of patents pending driving best in class technology
published papers in top speech journals
IRBs with top academic institutions and healthcare companies