Dan Brown

I build software infrastructure and AI products. Before Agoo AI, I spent fifteen years building engineering teams and platforms at scale. I grew the engineering organization at Edmodo from three people to thirty. At Mathison Technologies I led product engineering through the company's growth years. The question I kept returning to in both roles: what is the technical problem behind the business problem, and what would it actually take to solve it?

I'm from Ghana, West Africa. That background shapes how I think about building, specifically what it means to build things that work when the infrastructure assumptions don't hold. Edge AI, offline-first systems, tools designed for constrained environments: problems that matter to most of the world.

I hold graduate degrees from Carnegie Mellon (Software Engineering) and Brown University (Technology Leadership), and I'm currently in the research phase of a doctoral program in AI/ML at George Washington University.

About Agoo AI

Before entering a room, you announce yourself: listen up, may I come in? The answer is "Amee." That call-and-response, "Agoo," is pan-Ghanaian, used in both Ga-Dangme and Akan. It is where the name comes from.

Agoo AI is a technology consulting and product studio. We work with seed-stage and growth-stage companies on engineering problems that are too complex for a generalist agency and too early for a full internal team. We also build our own products: AI testing, edge AI benchmarking, observability, and mechatronics lifecycle management.

The consulting and product sides are not separate tracks. What we learn shipping our own tools changes how we advise clients, and client work regularly surfaces the next thing worth building.

Three engagement tiers. Sprint: a focused two-week engagement. Partnership: an ongoing technical advisory relationship. Build: full-scope product engineering. All three start with a conversation.