Founder
Frans Moore Frans Moore builds AI systems around a question: where can this technology make a consequential difference? He created Agent Internet Runtime (AIR), infrastructure designed to connect AI agents across the internet and turn what each learns about the web into shared knowledge others can build on. His work on OATR and agent.json complements AIR with trust and discovery infrastructure for the agent internet. His work also includes Arcede’s public evidence and forecasting system for the Bundibugyo Ebola outbreak in DR Congo, and writing on AI oversight.
That work is grounded in data collection, field research and health programs in eastern DR Congo, Tanzania and South Sudan. He has managed projects, finance and research, coordinated a health and biodiversity survey across South Kivu and Tanganyika in a conflict-affected setting, and advises a health organization in South Sudan on program evaluation and governance. Alongside this work, he has co-authored peer-reviewed research and presented at multiple conferences and summits.
A case count or a clinic register is data, but when it is wrong, the people it undercounts often have the least room for error. Working where gaps in evidence meet limited institutional capacity shapes how he builds: around the people a system must serve, the decisions it informs and the consequences of getting them wrong.
The question began with studies in psychology and cognitive science at the University of Georgia, including coursework through its Institute for Artificial Intelligence in AI, discrete mathematics, cognitive psychology, sensation and perception, and mathematical modeling. Pursuing its practical implications led him to an MSc in international public health from the Liverpool School of Tropical Medicine and into humanitarian health work.
At UGA’s LINC Lab, he worked under Dr. Dorothy Carter on NASA-funded research into multi-team systems: how interdependent teams coordinate across disciplines to address grand challenges. Together, these experiences connect his work on intelligence and coordination to Arcede’s purpose: building AI for society’s direct benefit.
Founder's letter Two ways to work together. Adapted from my note of May 1, 2026, and updated in October 2026.
Arcede is built around intelligence on demand. AI and frontier systems let us expand research, analysis and engineering capability without making headcount the measure of what is possible. I founded Arcede to put that capability to work where it can make a meaningful difference.
I studied how minds work before I built anything. Psychology and cognitive science taught me that perception is partly inference: a mind reports more than it takes in, and rarely marks which part is which.
Years of field research and health programs in eastern DR Congo, Tanzania and South Sudan showed me the same problem in institutions. A case count or a clinic register is a report too, and when it is wrong, the people it undercounts are usually the ones with the least room for error. AI now reports on the world at a scale no team can check by hand, so I build AI systems that institutions can check, close to the people doing the work.
There are two ways we can work together.
Directly, with your organization. We might start by helping your team use new tools, or by designing a system around a specific problem: research, portfolio synthesis, reporting or operational planning. The work starts with what you need to do, not with a technology looking for a use. Working together directly .
Through the people funding that work. Grants, contracts and partnerships can bring capability to one grantee, extend it across a portfolio, or help build shared tools that many organizations can use. The point is to put these tools in the hands of organizations whose work matters, including those that could not otherwise afford to build them. Working with philanthropy .
The most useful first message is a few sentences about what is on your mind. You can reach me at frans@arcede.com .
Frans Moore
