top of page

Manage the Mental Health of your Patients with VoiceAI

Unlock the power of the human voice - detect mental health conditions earlier and non-invasively using vocal biomarkers.

Mental health disorders are costly

Mental health disorders are known to exacerbate symptoms of existing chronic conditions, leading to functional decline, disability, and loss of quality of life. Mental health comorbidities lead to overtreatment and worsened overall health outcomes.

 

Existing screening and management tools for mental health conditions are limited. As a result, the majority of people with mental health conditions do not receive adequate care.

Underserved

Mental disorders are under-diagnosed and under-treated.

Up to 60% of those affected never receive care.

Underreported

Existing mental health management tools are limited and underutilized.

Less than 10% of primary care physicians track their patients' mental health.

6x Higher Costs

Mental health comorbidities lead to longer hospital stays and excessive treatment costs for providers.

voice-square.jpg

Redefining Mental Health Care with VoiceAI

VoiceAI helps healthcare providers and physicians seamlessly screen and manage the mental health of their patients.

  • Objective and patient-friendly screening of major mental health conditions

  • Seamlessly integrated into existing clinical workflows via API

  • Non-invasive monitoring of patient mental health

VoiceAI Stats

up to 80%

Clinical Accuracy Rate

6000+

Minutes Analyzed

1000+

Individuals Screened

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 undergo specific neurophysiological and cognitive changes that directly affect their vocal profile.

​

At Ensofy, we are building an AI/ML solution 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.

bottom of page