Trusted maternal health guidance, accessible to every woman.
AI4Health creates multilingual, expert-verified AI systems that support mothers, families, and frontline workers — making trustworthy maternal health guidance accessible through WhatsApp and low-resource platforms.
Sakhi
Verified Health Knowledge for Communities
Transparency alone is not enough. People need reliable, accessible knowledge they can trust. Sakhi delivers expert-verified maternal and community-health information directly over WhatsApp.
Multi-language Support
Verified, expert-reviewed health information in multiple languages via WhatsApp.
Maternal Health
Accurate, timely guidance for expectant mothers and families on reproductive health.
NGO Dashboards
Monitor needs, intervene early, and support community health with data-driven insights.
Privacy First
Strict privacy, accuracy, and safety standards designed for vulnerable communities.
Sanjeevani
Digital tools for frontline community health
Sanjeevani is an offline-first mobile and WhatsApp-based platform that supports frontline workers, NGOs, and public-health teams in delivering maternal and community-health guidance with speed, accuracy, and scale.
What Sanjeevani enables:
- Offline-first Android app built for low-connectivity environments
- WhatsApp-based knowledge delivery for maternal and community health
- Real-time dashboards that help teams track engagement and follow-ups
- AI-powered insights into common questions, high-risk cases, and community trends
- Lightweight speech + multilingual LLM pipelines designed for low-resource settings
- Seamless partner integration into field programs and NGO workflows
Medical AI Evaluations & Benchmarking
Strengthening safety, accuracy, and real-world reliability in medical AI
We conduct rigorous, context-aware evaluation of medical AI models to ensure they work safely and effectively for diverse populations and real clinical environments.
Our work includes:
- Benchmarking medical-AI performance on maternal and community-health tasks
- Developing evaluation datasets grounded in field realities and health-worker needs
- Assessing model bias, consistency, and clinical relevance in low-resource contexts
- Building open evaluation frameworks for speech, multimodal, and LLM-based health models
- Testing models in real workflows with NGOs, health programs, and care providers
Impact Across Verticals
Built with & for communities. Validated through evidence.
Who We Serve
Our solutions are designed for the entire maternal health ecosystem
Mothers & families
Direct support for maternal health decisions
Community health workers
Tools that enhance frontline care delivery
NGOs & civil society
Scalable solutions for community programs
Public health institutions
Data-driven insights for policy and planning
Researchers & global health innovators
Open frameworks for health AI advancement
Our Journey
Maternal health pilots
Sakhi launch
60% knowledge gains (RCT)
Bangladesh expansion
Sanjeevani deployed