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.
11yrs
one struggles from the onset of mental health symptoms before they receive a diagnosis
41%
of the US population is reporting mental health conditions, including 32% with depression or anxiety
1in 4
Americans have a treatable mental health condition, but most don’t get identified
$300b
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
60-90
seconds of voice to identify mental health conditions
3
mental health conditions supported - stress, anxiety and depression
2
aspects of speech - our technology supports both acoustics and semantics
1M+
labeled minutes of speech and counting
2
issued US patents, a number of patents pending driving best in class technology
6
published papers in top speech journals
10
IRBs with top academic institutions and healthcare companies