Submitted
2025 Global Health Challenge

Vocalysis

Team Leader
Sairam Peddigari
Vocalysis is an AI-powered voice analysis tool that identifies early signs of mental health concerns through speech pattern recognition. Our technology uses advanced machine learning algorithms to analyze vocal biomarkers, including pitch variations, tone modulation, speech rhythm, and linguistic patterns. The system processes voice samples through a privacy-preserving architecture and generates real-time insights about potential mental health indicators. These insights...
What is the name of your organization?
Cittaa Health Services Private Limited
What is the name of your solution?
Vocalysis
Provide a one-line summary or tagline for your solution.
AI-powered voice analysis tool that detects early signs of mental health concerns, enabling timely intervention in schools and hospitals.
In what city, town, or region is your solution team headquartered?
Hyderabad, Telangana, India
In what country is your solution team headquartered?
IND
What type of organization is your solution team?
For-profit, including B-Corp or similar models
Film your elevator pitch.
What specific problem are you solving?
India faces a severe mental health crisis with limited resources to address it. One in four students experiences mental health challenges, while the country has only 0.3 psychiatrists per 100,000 people. The treatment gap exceeds 80%, meaning most people receive no care at all. Early detection is particularly challenging in educational settings, where mental health issues often go unrecognized until they become severe. For children and adolescents, delayed intervention can significantly impact academic performance, social development, and future opportunities. Schools lack affordable tools to identify early warning signs, and cultural stigma prevents many from seeking help. Our work across schools in Hyderabad has shown that traditional screening methods miss approximately 60% of children with emerging mental health concerns.
What is your solution?
Vocalysis is an AI-powered voice analysis tool that identifies early signs of mental health concerns through speech pattern recognition. Our technology uses advanced machine learning algorithms to analyze vocal biomarkers, including pitch variations, tone modulation, speech rhythm, and linguistic patterns. The system processes voice samples through a privacy-preserving architecture and generates real-time insights about potential mental health indicators. These insights enable psychologists, counselors, and educators to provide timely, targeted support. Vocalysis features multi-language support for India's diverse population, secure data encryption, and seamless integration with existing school systems. Our technology demonstrates 72% accuracy in identifying emotional markers, significantly outperforming traditional screening methods. The non-invasive nature of voice analysis reduces stigma associated with mental health assessments, making it more accessible for reluctant participants.
Who does your solution serve, and in what ways will the solution impact their lives?
Vocalysis primarily serves students in K-12 educational institutions across India, with initial focus on urban and semi-urban schools. These students often lack access to mental health assessment due to the severe shortage of qualified professionals, high costs, and stigma. In our partner schools like Sunflower Vedic School and Gitanjali International, we've seen that early detection through Vocalysis helps students receive timely support before issues escalate. For children with emerging anxiety, depression, or learning difficulties, this means improved academic performance, better social relationships, and enhanced overall wellbeing. The solution also serves resource-constrained schools by offering an affordable screening tool that complements our hierarchical support model of psychologists. By identifying students needing intervention early, schools can optimize their limited mental health resources, reaching more students with targeted support rather than addressing issues only after they become severe.
Solution Team:
Sairam Peddigari
Sairam Peddigari
Chief Executive Officer