ManoVāk™

Voice of the Mind

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

Schedule a Demo

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. Designed for scalability, privacy, and real-time actionable insights, these APIs transform raw voice data into precise mental state intelligence for individuals, clinicians, institutions, and researchers.

Why Voice? The Manodayam Breakthrough

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

Why Voice Outperforms Other MethodsTraditional ScreeningManoVāk Voice Analysis
Signal RichnessQuestionnaires (conscious bias)Biomarkers (subconscious truth)
Detection SpeedDays/WeeksReal-time (35 seconds)
ScalabilityCounselor-limitedUnlimited (any device)
InvasivenessSubjective, stigmatizingPassive, conversational
Accuracy48 - 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.

Schedule a Demo

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