An AI-native services company replacing the INGO operational layer for community health in sub-Saharan Africa.
Governments contract the service. Pharma F100 buys the data. We do what 1,500-person implementation organizations used to do — at 5–15% of the cost.
Ministries are operating. The 50% that's flowing direct gets spent — on the same patients, by the same nurses, in the same districts. They're just stretched in two directions at once: 20% less budget, and no INGO partner left to run the trainings, supervisory visits, M&E systems, or last-mile supply chain that the previous 30% used to deliver.
International aid has been ducking one question for forty years: the goal of foreign assistance is supposed to be the recipient's eventual independence from it. In practice, off-ramp planning has been politically uncomfortable and structurally absent. The 2025 cuts forced the conversation — abruptly, without warning, with real human cost in the transition. luma sits on the off-ramp side of that argument: software that helps ministries do more with what they have, that scales without a foreign implementing partner, that contributes to the independence aid was always meant to enable.
WhatsApp workflow companion in the worker's own language. Surfaces the right protocol, the right contact for escalation, real-time decision support. The thing INGO supervisors used to do, delivered by software that scales.
Operational dashboard of CHW network activity, severity flags, district coverage gaps, defaulter tracing. Multi-year MoH master service agreement. Sovereign data residency. No INGO middleman, no donor cycle dependency.
The same operational data feeds an API for pharma real-world-evidence buyers. The revenue from that layer subsidises the ministry layer — which means luma is affordable to ministries without donor backing.
The endgame is the same as the long-stated goal of foreign aid itself: a country running its own primary care, on its own schedule, with its own data, without a donor cycle in the middle. luma is the operating system for that destination.
Africa is a $250B blind spot. Government-contracted last-mile data is the way in.
10 districts · 3 protocol families · live