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Mental Health Management using Voice + AI

Helping healthcare providers easily manage the mental health of their patients.

Our AI-based vocal biomarkers technology detects mental health conditions in human voice faster and less invasively than traditional methods.

Mental health disorders are costly

Mental health disorders, such as major depressive disorder are known to worsen symptoms of existing chronic conditions, leading to functional decline, disability, and loss of quality of life. Mental health comorbidities lead to excessive treatment and worsened overall health outcomes.

Existing screening and managing tools for mental health conditions are very limited. As a result, majority of individuals affected by mental health conditions do not receive adequate care.


At Ensofy we are building novel vocal biomarkers technology that allows instant and non-invasive management of mental health disorders. We partner with care providers internationally to address the colossal unmet need in mental health care.

mental health


Mental health disorders are under-diagnosed and under-treated. Across Europe and the US, up to 60% of those affected never receive any care.



Existing mental health management tools are limited and underutilized.

Only 1 in 5 primary care physician records the mental health of their patients in the EHR.

Up to 6.2x Excess Costs

Mental health comorbidities lead to lengthy hospitalizations, complications and excessive treatment costs.

Human Voice is a Window into the Human Mind.

As early as 1927, clinical psychiatrists noted the distinct vocal pattern that depressed individuals have. Today we know that people experiencing mental health disorders, such as depression undergo specific neurophysiological and cognitive changes that directly affect their vocal profile.

At Ensofy, we are building an AI/ML solution, called VoiceAI, that identifies the changes in the voice to non-invasively detect mental health conditions. VoiceAI helps caretakers easily manage the mental health of their patients as it requires only 30 seconds of free-form speech.

VoiceAI Stats

up to 80%

Clinical Accuracy Rate


Minutes Analyzed


Individuals Screened

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