ManoVāk™

Voice of the Mind

Scalable. Non-invasive. Privacy-first. Research-grade.

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What is ManoVāk?

ManoVāk (मनो वाक्) is Manodayam’s revolutionary voice biomarker screening platform that decodes human state-of-mind through non-verbal vocal patterns. Using advanced deep-tech AI, ManoVāk analyzes tone, pitch, rhythm, and micro-pauses from everyday speech to detect early signals of mental health conditions. 

Why Voice? The Manodayam Breakthrough

Voice is the richest, most accessible window into state-of-mind complexity.

Why Voice Outperforms Other Methods
Traditional Screening
ManoVāk Voice Analysis
Signal Richness
Questionnaires (conscious bias)
Biomarkers (subconscious truth)
Detection Speed
Days/Weeks
Real-time (35 seconds)
Scalability
Counselor-limited
Unlimited (any device)
Invasiveness
Subjective, stigmatizing
Passive, conversational
Accuracy
48 - 55% (PHQ-9)
70 - 87% (longitudinal)

What ManoVāk Screens For

  • Condition Depression
  • Voice Biomarkers Detected Reduced pitch variability, slowed speech
  • Detection Window 14-30 days early
  • Condition Anxiety
  • Voice Biomarkers Detected Elevated vocal tension, micro-tremors
  • Detection Window Real-time
  • Condition PTSD
  • Voice Biomarkers Detected Irregular pause patterns, prosody disruption
  • Detection Window Post-exposure
  • Condition Stress/Fatigue
  • Voice Biomarkers Detected Speech rate acceleration, energy drop
  • Detection Window Daily tracking
  • Condition Cognitive Decline
  • Voice Biomarkers Detected Articulation precision loss
  • Detection Window Progressive

Real-Time Actionable Insights

Manovak for Individuals

For Individuals

  • Personal State-of-Mind Dashboard → Daily risk scores → Self-care recommendations
  • "23% stress reduction detected. Try 5-min breathing exercise."
Manovak for Individuals

Intervention Tracking & Efficacy Monitoring

  • Objective: Measure how well existing mental health programs are working at scale
  • Tracking: Referral pathways, specialist consultation completion, patient outcomes, follow-up compliance
  • Outputs: Program efficacy dashboards, bottleneck identification, counselor utilization metrics
  • Policy Use: Continuous program improvement, training priorities, service model optimization

Evidence Generation & Policy Research

  • Objective: Generate rigorous research to advance national mental health policy
  • Partnerships: State health departments, academic institutions both state owned as well as private
  • Research Directions: Epidemiological studies, intervention trials, health equity analysis, cost-effectiveness studies
  • Output: Evidence-based policy recommendations for institution like NMHP, state programs, training curricular
Manodayam Vision in Mental Health

Evidence Generation & Policy Research

  • Objective: Generate rigorous research to advance national mental health policy
  • Partnerships: State health departments, academic institutions both state owned as well as private
  • Research Directions: Epidemiological studies, intervention trials, health equity analysis, cost-effectiveness studies
  • Output: Evidence-based policy recommendations for institution like NMHP, state programs, training curricular
Manodayam Vision in Mental Health

Start Screening with ManoVāk Today

Experience state-of-mind screening through natural voice.

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Frequently Asked Questions

What happens to my voice data?

Zero audio storage. Voice processed locally → biomarkers extracted → audio deleted. Only mathematical signatures transmitted (99.7% de-identified).

How accurate is early detection?

87% crisis prediction (7-day window) via longitudinal tracking. Single screening: 70-73% condition detection. Accuracy improves 15% monthly with baseline data.

Which languages does ManoVāk support?
22 Indian languages + English. Models trained on 1.2M voice samples ensuring dialect accuracy across Hindi, Tamil, Bengali, Telugu, etc.
Implementation timeline?

Week 1: API integration
Week 2: Baseline collection
Week 3: Real-time insights live
90 days: Predictive analytics mature