Lifecycle Support for People-First AI in the Global South

We bring advisory, development, and capacity-building together
to help countries institutionalize AI across public systems.

Technology Advisory

We help governments translate national priorities into actionable AI strategies that balance innovation with ethics, governance, and public value.

We deliver:

• National AI and data strategies
• Governance and ethical adoption frameworks
• Readiness and maturity assessments
• Policy and implementation roadmaps

Technology Development

We co-build AI systems grounded in local realities, designing and deploying solutions that deliver lasting public impact for the communities they serve.

We collaborate to:

• Localize global AI for national needs
• Build prototypes and test in real-world settings
• Integrate AI into government systems
• Develop open-source tools and scalable frameworks

Capacity Building

We equip people and institutions with the skills and knowledge needed to sustain AI progress and build resilient public systems.

We focus on:

• Training policymakers, program managers, and tech teams
• Setting up embedded technical units
• Partnering with universities and AI fellows
• Supporting change management and adoption

Focus Areas

Health

AI tools that support early disease detection, improve maternal and child health outcomes, and strengthen public health systems.

Health

AI tools that support early disease detection, improve maternal and child health outcomes, and strengthen public health systems.

Agriculture

Predictive models that help farmers make informed decisions, improve yields, and reduce losses.

Agriculture

Predictive models that help farmers make informed decisions, improve yields, and reduce losses.

Education

AI-based learning platforms and employment-matching systems that promote access and inclusion.

Education

AI-based learning platforms and employment-matching systems that promote access and inclusion.

Building the future of Responsible AI together

Partner with us to turn national priorities into scalable, responsible AI systems that deliver real impact on the ground.