Moustapha Cissé Could Have Stayed in Big Tech. He Chose to Build in Africa.

When TIME named Moustapha Cissé to its 2026 list of the 100 most influential people in AI, the recognition landed on a man who had spent years trying to make the technology matter in the place he comes from. Cissé is a Senegalese researcher who passed through Facebook AI Research and then led Google's first AI lab in Africa. Today he runs Kera Health Platforms, a Senegalese company using AI to reshape how healthcare is paid for and delivered. The award is the peg. The story is why an engineer with that résumé decided that the most valuable thing he could build was not another model in Silicon Valley, but institutions and companies on the African continent.

The question underneath his career is simple and uncomfortable. For decades, the dominant path for exceptional African technologists ran in one direction: study abroad, join a Western institution, create value there. Cissé's trajectory bends that line. He gathered global experience, then turned back toward Africa to build research capacity, train a generation of AI talent, and finally start a company in Senegal. Why?

A Near-Death, and a Question

Cissé was born and raised in Senegal. His academic path began in mathematics and physics at Université Gaston Berger before he moved to Paris, where he earned a master's in artificial intelligence and a doctorate in machine learning at Université Pierre et Marie Curie.

The deeper origin story, though, is medical. In 2004, when he was 19, Cissé became seriously ill and was misdiagnosed. "I had been misdiagnosed, and what I was being treated for was slowly killing me," he recalled in a 2024 interview with the International Finance Corporation. He eventually recovered, but the experience, he said, "left me deeply curious about how something like that could happen." He studied mathematics, physics and AI, but the question of healthcare never left him.

It would take two decades, and a detour through the world's biggest AI labs, before that curiosity became a company.

Inside the World's AI Labs

Cissé's research career took him to Facebook AI Research, where he worked on safer, value-aligned AI systems, and then to Google. In 2018, Google announced its first AI research lab in Africa; it opened in Accra, Ghana, in 2019, with Cissé as its founding lead. The lab was not a satellite office. It was a research center publishing open-source work, funding PhD scholarships and engaging African universities, with a team drawn from across the continent and beyond.

Why did locating serious AI research in Africa matter? Part of the answer was practical. AI systems reflect the data and people behind them, and a technology built without Africa in mind risks ignoring, misreading or even harming African users. Cissé argued that Africans had to be "at the forefront of providing solutions to problems on their continent," and that algorithms needed to be "fair," transparent and privacy-respecting. There was also a quieter claim: that research capacity, once established, compounds. Build a lab, train students, publish openly, and the next generation builds from there.

Cissé led Google AI in Africa until 2022. The lab put African AI research on the global map. But an institution inside a multinational company, however valuable, is still someone else's institution.

Building People, Not Just Papers

This is where Cissé's most consequential bet may lie. He founded the African Master's in Machine Intelligence (AMMI), hosted at the African Institute for Mathematical Sciences (AIMS), and described as the continent's first graduate program in AI. AMMI is a one-year intensive master's that pulls bright young Africans into state-of-the-art machine learning training.

The program matters because of what it implies. Africa has long exported exceptional individuals. AMMI is an attempt to produce exceptional talent repeatedly, at scale, inside institutions on the continent. Cissé has said its graduates have gone on to "build amazing things, including solutions used by billions of people worldwide daily."

That claim is hard to verify independently, and the program's full alumni footprint is not publicly documented. But one part of the story is concrete, and it is the thread that ties his career together. Many of those students came back to work with him. "We are fortunate that many graduates of the program have made their way back to Kera," he told the IFC.

There is a cycle in that sentence. Someone gave a young Senegalese student an opportunity. He became a world-class researcher. He created opportunities for younger Africans. Some of them became engineers and scientists. Some are now helping him build a company. The model is not charity; it is an ecosystem trying to reproduce itself.

The Decision to Build

In 2023, Cissé founded Kera Health Platforms in Senegal. The idea, at first, was not insurance. He had raised an initial $3 million pre-seed round to build a platform that would gather fragmented health records so doctors could diagnose and treat more efficiently, according to TIME. The plan ran into a wall: existing insurers would not cooperate. So in September 2024, he launched Sura, Kera's own AI-driven health insurance product.

The problem Sura addresses is structural. In Senegal, there are roughly 10 doctors for every 100,000 people, compared with more than 200 in the United States or France, Cissé told the IFC. Healthcare providers often wait around 120 days to be paid. Many people cannot afford to pay out of pocket, and many providers cannot afford to wait. "This is a structural health problem because it significantly reduces access, especially for those who need it most," Cissé told TIME.

Sura uses AI to analyze records and approve claims within roughly 30 seconds. The system, Cissé says, never rejects a claim outright; it routes uncertain ones to human review. There is no app and little website. Transactions happen over WhatsApp. Tens of thousands of people are now covered, according to TIME, and Sura has expanded into Ivory Coast, with a third African country expected in the fall.

Kera has raised $10 million from the International Finance Corporation, TIME reported, and Cissé has said the company has continued to raise more. He talks about expanding into the United States, "because the need is the same everywhere."

These are early numbers from a young company, and much remains unproven. What is clear is the ambition: not a single product, but what Cissé calls "a new world model" for delivering healthcare proactively. "The most important thing in my mind long-term is not a health insurance product," he told TIME. "It really is what powers it."

What the Trajectory Reveals

Step back, and Cissé's career sketches a different map of African participation in AI. The familiar route runs outward: talent leaves, value accumulates elsewhere. His path runs through the same global institutions and then turns back, carrying relationships, expertise and credibility into institutions built on the continent.

This is not a clean "brain drain versus brain gain" story. People move in both directions; the global AI economy still pulls strongly toward a handful of cities. But Cissé's case suggests that movement can be made to compound at home. A lab at Google, a master's program at AIMS, a startup in Dakar, and a workforce that includes his former students are not separate achievements. They are connected attempts to turn talent into capacity, and capacity into companies.

"I believe that technology and innovation cannot be detached from the environment in which it is built," Cissé told the IFC. "If you tap into talent from the region to design and develop software to digitize healthcare, you increase your chances of building impactful solutions and companies here on the continent."

The Senegalese dimension is not decorative. Cissé is building in Dakar. The misdiagnosis that shaped his curiosity happened in Senegal. The doctor shortage he describes is Senegal's. Yet the lesson is not a tidy one about a country ready to retain its talent. Senegal's technology ecosystem is still young, and the obstacles Cissé describes, slow payments, fragmented data, thin insurance markets, are the obstacles any founder there will meet. His trajectory shows what is possible; it does not yet show that it is easy or common.

The Circle

When the TIME100 list was published, Cissé wrote that three names on it "form a circle." The image is suggestive. Some of the people now building African AI were, not long ago, his students. Some of those students are now building with him. The arc of a career that began in Senegal, detoured through Paris, the AI labs of Facebook and Google, and Accra, has come back to orbit something smaller and more deliberate: a company in Dakar, staffed in part by people he trained, trying to solve a problem he nearly died from.

That may be the real measure of his influence, and it has nothing to do with a list.