SAMVIT Platform
SAMVIT Platform
SAMVIT Platform
Supporting the full lifecycle of AI-powered healthcare programs
Supporting the full lifecycle of AI-powered healthcare programs
Supporting the full lifecycle of AI-powered healthcare programs
SAMVIT (Scale, Automation, Monitoring, Validation, Integration, and Tracking of AI in Healthcare) is TANUH's unified platform that provides the infrastructure needed to deploy and scale AI screening programs operated by community health workers across diverse health systems. This helps health systems move from AI pilots to sustainable AI programs.
It addresses three practical challenges:
SAMVIT (Scale, Automation, Monitoring, Validation, Integration, and Tracking of AI in Healthcare) is TANUH's unified platform that provides the infrastructure needed to deploy and scale AI screening programs operated by community health workers across diverse health systems. This helps health systems move from AI pilots to sustainable AI programs.
It addresses three practical challenges:
SAMVIT (Scale, Automation, Monitoring, Validation, Integration, and Tracking of AI in Healthcare) is TANUH's unified platform that provides the infrastructure needed to deploy and scale AI screening programs operated by community health workers across diverse health systems. This helps health systems move from AI pilots to sustainable AI programs.
It addresses three practical challenges:
Health System Integration
Health System Integration
Health System Integration
SAMVIT brings multiple AI screening solutions into a single application and connects them with existing health system workflows and data portals. This simplifies deployment and allows new AI models to be introduced without redesigning the entire program.
It provides the critical operational infrastructure required to deploy and scale AI-driven screening programs across diverse, resource-constrained Indian health systems. This enables transitions AI from pilots to sustainable programs in a seamless manner.
SAMVIT brings multiple AI screening solutions into a single application and connects them with existing health system workflows and data portals. This simplifies deployment and allows new AI models to be introduced without redesigning the entire program.
It provides the critical operational infrastructure required to deploy and scale AI-driven screening programs across diverse, resource-constrained Indian health systems. This enables transitions AI from pilots to sustainable programs in a seamless manner.
SAMVIT brings multiple AI screening solutions into a single application and connects them with existing health system workflows and data portals. This simplifies deployment and allows new AI models to be introduced without redesigning the entire program.
It provides the critical operational infrastructure required to deploy and scale AI-driven screening programs across diverse, resource-constrained Indian health systems. This enables transitions AI from pilots to sustainable programs in a seamless manner.
The Cascade of Care
The Cascade of Care
The Cascade of Care
SAMVIT is designed to support frontline and community health workers, enabling them to effectively use AI-powered screening tools in real-world settings.
Screening creates value only when patients receive appropriate follow-up care. The platform manages the entire patient journey, from screening and confirmation to referral, treatment, and outcome tracking. Program managers can identify where patients are being lost in the care pathway and intervene before opportunities for treatment are missed.
By connecting AI screening with longitudinal patient outcomes, the platform enables healthcare programs to evaluate success not only through model accuracy, but through measurable improvements in patient care and health outcomes.
SAMVIT is designed to support frontline and community health workers, enabling them to effectively use AI-powered screening tools in real-world settings.
Screening creates value only when patients receive appropriate follow-up care. The platform manages the entire patient journey, from screening and confirmation to referral, treatment, and outcome tracking. Program managers can identify where patients are being lost in the care pathway and intervene before opportunities for treatment are missed.
By connecting AI screening with longitudinal patient outcomes, the platform enables healthcare programs to evaluate success not only through model accuracy, but through measurable improvements in patient care and health outcomes.
SAMVIT is designed to support frontline and community health workers, enabling them to effectively use AI-powered screening tools in real-world settings.
Screening creates value only when patients receive appropriate follow-up care. The platform manages the entire patient journey, from screening and confirmation to referral, treatment, and outcome tracking. Program managers can identify where patients are being lost in the care pathway and intervene before opportunities for treatment are missed.
By connecting AI screening with longitudinal patient outcomes, the platform enables healthcare programs to evaluate success not only through model accuracy, but through measurable improvements in patient care and health outcomes.
Benchmarking
Benchmarking
Benchmarking
Health systems need independent evidence that AI models perform reliably across different devices, populations, and settings. SAMVIT maintains gold-labelled datasets drawn from a diverse Indian population base that allow algorithms to be benchmarked under real-world conditions. Current benchmark datasets include:
Oral Cancer
Breast Cancer
Glaucoma
These datasets support model comparison and validation.
Health systems need independent evidence that AI models perform reliably across different devices, populations, and settings. SAMVIT maintains gold-labelled datasets drawn from a diverse Indian population base that allow algorithms to be benchmarked under real-world conditions. Current benchmark datasets include:
Oral Cancer
Breast Cancer
Glaucoma
These datasets support model comparison and validation.
Health systems need independent evidence that AI models perform reliably across different devices, populations, and settings. SAMVIT maintains gold-labelled datasets drawn from a diverse Indian population base that allow algorithms to be benchmarked under real-world conditions. Current benchmark datasets include:
Oral Cancer
Breast Cancer
Glaucoma
These datasets support model comparison and validation.
Voice-to-Medical Records (V2MR)
Voice-to-Medical Records (V2MR)
Voice-to-Medical Records (V2MR)
Clinical documentation is essential for quality healthcare but remains time-consuming and contributes significantly to clinicians’ administrative burden. Advances in speech and language AI offer the potential to transform clinical conversations into accurate, structured medical records. However, solutions addressing India’s multilingual, code-mixed, dialectal, and clinical complexities remain limited, alongside a lack of reliable benchmarks for their evaluation. At the TANUH AI Center of Excellence, this project aims to advance voice-based medical documentation while developing robust frameworks to assess their quality, compliance, and responsible adoption—creating a horizontal capability with potential impact across clinical domains and healthcare systems.
Clinical documentation is essential for quality healthcare but remains time-consuming and contributes significantly to clinicians’ administrative burden. Advances in speech and language AI offer the potential to transform clinical conversations into accurate, structured medical records. However, solutions addressing India’s multilingual, code-mixed, dialectal, and clinical complexities remain limited, alongside a lack of reliable benchmarks for their evaluation. At the TANUH AI Center of Excellence, this project aims to advance voice-based medical documentation while developing robust frameworks to assess their quality, compliance, and responsible adoption—creating a horizontal capability with potential impact across clinical domains and healthcare systems.
Clinical documentation is essential for quality healthcare but remains time-consuming and contributes significantly to clinicians’ administrative burden. Advances in speech and language AI offer the potential to transform clinical conversations into accurate, structured medical records. However, solutions addressing India’s multilingual, code-mixed, dialectal, and clinical complexities remain limited, alongside a lack of reliable benchmarks for their evaluation. At the TANUH AI Center of Excellence, this project aims to advance voice-based medical documentation while developing robust frameworks to assess their quality, compliance, and responsible adoption—creating a horizontal capability with potential impact across clinical domains and healthcare systems.
Team
Team
Team
Rama Siva
Rama Siva
Rama Siva
Chief Product Officer
Chief Product Officer
Chief Product Officer
Prasad Sudhakar
Prasad Sudhakar
Prasad Sudhakar
Chief AI Scientist
Chief AI Scientist
Chief AI Scientist
Harsha Saagi
Harsha Saagi
Harsha Saagi
Head of Engineering
Head of Engineering
Head of Engineering
Shailesh Leslie Albuquerque
Shailesh Leslie Albuquerque
Shailesh Leslie Albuquerque
Lead Architect
Lead Architect
Lead Architect
Gowri MV
Gowri MV
Gowri MV
Lead AI Product Integration
Lead AI Product Integration
Lead AI Product Integration
Garima
Garima
Garima
Product Manager
Product Manager
Product Manager
Jitesh Upadhyay
Jitesh Upadhyay
Jitesh Upadhyay
Lead Developer
Lead Developer
Lead Developer
Tarini Naik
Tarini Naik
Tarini Naik
UX Researcher & Designer
UX Researcher & Designer
UX Researcher & Designer
Naveen Ramkumar
Naveen Ramkumar
Naveen Ramkumar
Senior Technical Staff Member
Senior Technical Staff Member
Senior Technical Staff Member
G. Pavithra
G. Pavithra
G. Pavithra
Senior Technical Staff Member
Senior Technical Staff Member
Senior Technical Staff Member
Samba Siva Rao Kovvuru
Samba Siva Rao Kovvuru
Samba Siva Rao Kovvuru
Intern
Intern
Intern
Clinical Operations Team
Clinical Operations Team
Clinical Operations Team
Sri Vidhya Jagadish
Sri Vidhya Jagadish
Sri Vidhya Jagadish
Member Secretary, TANUH IEC
Member Secretary, TANUH IEC
Member Secretary, TANUH IEC
Anagha Unnikrishnan
Anagha Unnikrishnan
Anagha Unnikrishnan
Data Protection Officer (DPO),
Ethics Team Coordinator,
Public Health Specialist
Data Protection Officer (DPO),
Ethics Team Coordinator,
Public Health Specialist
Data Protection Officer (DPO),
Ethics Team Coordinator,
Public Health Specialist
Minmini Selvam
Minmini Selvam
Minmini Selvam
Principal Clinical Scientist
Principal Clinical Scientist
Principal Clinical Scientist
Priyanka Patil
Priyanka Patil
Priyanka Patil
Clinical Specialist (INFM)
Clinical Specialist (INFM)
Clinical Specialist (INFM)
Vaishnavi Joshi
Vaishnavi Joshi
Vaishnavi Joshi
Clinical Specialist (BCS)
Clinical Specialist (BCS)
Clinical Specialist (BCS)
Ajo Babu George
Ajo Babu George
Ajo Babu George
Clinical Specialist (RH)
Clinical Specialist (RH)
Clinical Specialist (RH)
Venkata Sai Rohith Veluru
Venkata Sai Rohith Veluru
Venkata Sai Rohith Veluru
Clinical Specialist (VDS)
Clinical Specialist (VDS)
Clinical Specialist (VDS)
Sushma Yadav
Sushma Yadav
Sushma Yadav
Senior Public Health Specialist (MH)
Senior Public Health Specialist (MH)
Senior Public Health Specialist (MH)
The AI Centre of Excellence in Healthcare
AI Centre of Excellence in Healthcare
Indian Institute of Science
Seventh Floor, TCS Smart-X Hub
Bengaluru, India - 560 012
Email: info@tanuh.ai
Telephone: (080) 2293 4106 | (080) 2293 4107
2026 by TANUH
The AI Centre of Excellence in Healthcare
AI Centre of Excellence in Healthcare
Indian Institute of Science
Seventh Floor, TCS Smart-X Hub
Bengaluru, India - 560 012
Email: info@tanuh.ai
Telephone: (080) 2293 4106 | (080) 2293 4107
2026 by TANUH
The AI Centre of Excellence in Healthcare
AI Centre of Excellence in Healthcare
Indian Institute of Science
Seventh Floor, TCS Smart-X Hub
Bengaluru, India - 560 012
Email: info@tanuh.ai
Telephone: (080) 2293 4106 | (080) 2293 4107
2026 by TANUH