Preventive health
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Consented screening support
Investigational voice analysis supports—not replaces—qualified assessment.
Mental Health Screening
Every patient deserves to be heard.
An investigational screening-support concept using consented voice analysis, guided by principles from WHO ethics guidance and qualified clinical review.
Consent-aware Investigational Not a diagnosis
NivaCare is exploring consented AI analysis of speech patterns together with mental health screening guided by principles from WHO ethics guidance. The capability is intended to surface possible changes for qualified clinician review—not diagnose a condition, assess an emergency or replace a clinical interview.
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Clear safety boundaries
Screening support is not diagnosis or emergency assessment.
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Designed for practical access
Mobile-first workflows support varied Indian care settings.
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Listen for change. Respond with care.
In a governed pilot, voice-analysis signals may be considered with validated screening instruments selected for the intended setting and the patient's history, governed by WHO ethics principles. The result is not a diagnosis—it is investigational context that helps the clinician decide what deserves a conversation.
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Mental wellbeing should not depend on a postcode, location or language.
From a neighbourhood clinic to a remote consultation, NivaCare is designed to bring preventive mental health attention into the routine doctor-patient relationship across Tier 1, Tier 2 and Tier 3 locations in India.
Multilingual by design
Support natural conversations across Indian languages, regional dialects and everyday code-switching—subject to representative local validation.
Closer to first contact
Bring a preventive mental wellbeing layer into general practice, chronic-care visits and telehealth—not only specialist settings.
Connected beyond cities
Help local clinicians recognise possible changes and connect patients to the appropriate next level of support.
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AI can notice patterns. People understand the person.
Voice analysis is one consented, investigational screening input—not a diagnosis. Any deployment requires representative Indian-language validation, bias monitoring, privacy safeguards, clear escalation and qualified clinical judgement.
Clinician reviewed
No autonomous diagnosis. Signals are interpreted with an interview, validated tools and the patient's complete clinical context.
Patient consent first
Voice analysis must be transparent, purpose-limited and optional, with clear controls over capture, access and retention.
Bias actively tested
Performance must be evaluated across languages, dialects, ages, genders, devices and clinical settings before deployment.
Is voice analysis a diagnosis?
No. It is an investigational, consented screening input for qualified clinical review.
What safeguards are required?
Representative validation, bias monitoring, privacy controls and clear escalation must shape any pilot.
Can it assess an emergency?
No. It must not replace emergency assessment, a clinical interview or professional judgement.
A tip from Nivi · Dedicated workflow support
Book a walkthrough Hear earlier. Care sooner. Prevent the next gap.
Make mental wellbeing visible within the everyday care relationship—without reducing a person to a score or creating another disconnected tool.