Pakistan's first nationally coordinated AI Hub — a strategic partnership between LUMS and Aga Khan University, supported by a multi-year grant from the Gates Foundation. The Hub builds national capacity for responsible, high-impact AI innovation.
We start with maternal, newborn, and child health — where Pakistan's needs are most urgent. The Hub is built to extend into other national priorities over time.
Supported by
Among the highest rates in South Asia. The causes are known — hemorrhage, eclampsia, sepsis — and most are preventable with earlier identification of risk, faster referral, and decision support for the frontline workers who reach women first.
A basic health centre in rural Sindh. This is where the Hub's tools will be tested, refined, and deployed — in the hands of Lady Health Workers and facility staff, close to the women and newborns they serve.
Drive a coordinated national effort to bring ethical, evidence-based, locally built AI tools and solutions to communities that need them the most.
Develop homegrown AI models trained on Pakistani data to predict complications early and enable proactive, data-informed care — built here, for here.
Empower LHWs, midwives, and facility staff with AI-powered decision support tools.
Build voice and language AI for Urdu, Sindhi, Punjabi, Pashto, and other regional languages to bridge literacy and access barriers.
Train health workers, researchers, and public sector officials for meaningful AI adoption across Pakistan's institutions.
Establish ethical governance, responsible AI policy, and data standards for AI deployment in safety-critical environments.
Building Pakistan's AI capability from the ground up — starting with the lives that matter most.
We welcome partnerships with government agencies, health organizations, researchers, and technology partners committed to building Pakistan's AI capability.
Collaborate on provincial deployment and policy integration
Access datasets, publish findings, and contribute to AI models
Partner on frontline deployment and impact evaluation
Contribute to open-source AI tools and infrastructure