The Global Health Innovation Grants (GHIG) program focuses on fostering the growth and scale of health-focused innovations and social entrepreneurs in low- and middle-income countries (LMICs) through one-year grants. Since 2016, IiH has worked with grantees to identify metrics that align with their project objectives and activities. Analyzing this data, IiH provides an assessment of the portfolio in each cohort, as well as over time, to identify areas for improvement for the program. This case study is one of six from the GHIG9 grantee cohort.
Sevamob is an impact-driven social enterprise and an AI-enabled primary care provider serving underserved populations, primarily in India, with pilots in Southern Africa and Bangladesh. Founded in 2014, Sevamob operates as an AI-assisted disease management platform that pairs proprietary AI-based triage and diagnostic tools with telehealth and asset-light mobile or pop-up clinics, bringing primary care to low-resource settings where physicians and diagnostics are scarce. Sevamob AI provides point-of-care triage, screening, and diagnostic support, and health outcome delivery through telehealth and mobile clinics. Together, they support care in general health, nutrition, cardiometabolic and infectious diseases such as tuberculosis, and vision.
Its customers are business-to-business (B2B), including employers, NGOs, hospitals, insurers, corporate social responsibility (CSR) programs, and local governments, while frontline nurses and health workers deliver care at the last mile. This work advances the UN’s Sustainable Development Goal (SDG) 3 (Good Health and Well-being), with strong links to SDG 10 (Reduced Inequalities) and SDG 9 (Industry, Innovation, and Infrastructure).
As a recipient of the 9th Global Health Innovation Grant (GHIG9), Sevamob demonstrates that in low-resource settings, AI scales best when coupled with direct service delivery models; yet even a proven, self-sustaining model is constrained by a persistent gap in flexible, affordable financing.