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e-Saathi: A Digital Ecosystem for Maternal Health Innovation

Driving research, AI innovation, and real-world interventions to improve maternal and newborn health outcomes at scale.

What is e-Saathi

A Scalable Digital Platform for Maternal Health

e-Saathi is a chat-based maternal health platform designed to support women across the entire pregnancy and postnatal journey.

It integrates:

  • Digital health tools for continuous engagement
  • Behavioral insights to drive care-seeking and self-care
  • Healthcare system linkages for timely referrals and support

The platform delivers personalized, stage-specific information, enabling women to make informed decisions and access care at the right time.

The Problem We Are Solving

Bridging Critical Gaps in Maternal Health Systems

These gaps highlight the need for scalable, accessible, and patient-centered solutions that extend beyond traditional facility-based care.

  • Fragmented care across antenatal and postnatal stages
  • Limited access to timely, reliable health information
  • Low awareness of care pathways and entitlements
  • Delays in care-seeking and poor continuity of care
  • Overburdened healthcare systems with limited last-mile reach

Our Approach

An Integrated Model for Scalable Impact

e-Saathi is built on a multi-dimensional framework that combines technology, behavior, and health systems:

This integrated approach ensures that interventions are contextual, scalable, and aligned with real-world healthcare delivery.

  • 1

    Community & Behavior

    Enabling self-care, improving health awareness, and supporting informed decision-making through continuous interaction.

  • 2

    Digital Health

    Leveraging chat-based platforms, AI systems, and mobile technologies to deliver real-time, personalized engagement.

  • 3

    Health Systems Integration

    Strengthening linkages with healthcare providers, referral pathways, and public health programs to ensure continuity of care.

Research & Evidence

Evidence That Drives Impact

e-Saathi is supported by a growing body of research across digital health, community interventions, and AI systems.

Featured Research

Community-Based Maternal Health Intervention (Assam)

A large-scale digital health program improving access, awareness, and utilization of maternal health services in high-burden regions.

Focus: Digital engagement + health systems integration

View Study →

AI Chatbot for Maternal Health

A safety-first AI system designed to deliver reliable, context-aware maternal health information using large language models and clinical guardrails.

Focus: AI safety, triage, and real-world deployment

View Study →

Impact at Scale

Real-World Transformations in Healthcare

e-Saathi enables large-scale, real-world impact across the maternal health ecosystem:

Impact
  • Expands access to trusted maternal health information
  • Improves care-seeking behavior and service utilization
  • Strengthens patient-provider linkages
  • Reduces delays in accessing care
  • Supports efficient use of healthcare resources

Innovation

Advancing Digital and AI-Driven Healthcare

e-Saathi brings together cutting-edge innovation in:

Innovations
  • AI-powered conversational systems
  • Multilingual and low-literacy user design
  • Safety-first architecture for healthcare AI
  • Behavioral nudges for sustained engagement
  • Data-driven insights for program improvement

Global Significance

A Multi-Institutional Effort for Public Health Innovation

Multi-institutional collaboration for public health innovation

e-Saathi is developed through collaborations across leading institutions in healthcare, research, and technology:

  • Sitaram Bhartia Institute of Science and Research (SBISR)
  • Population Council
  • Nivi (Digital Health Platform)
  • Carnegie Mellon University
  • MSD for Mothers
  • Public health and academic partners

Collaborators & Partners

A Multi-Institutional Effort for Public Health Innovation

e-Saathi is developed through collaborations across leading institutions in healthcare, research, and technology:

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Collaborations
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Collaborate. Scale. Transform Maternal Health.

Partner with us to design, evaluate, and scale digital health and AI-driven solutions that improve maternal and child health outcomes across diverse populations.

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