What we are building.

CHARLéY is an AI-powered social platform built on one observation: the people most worth meeting are usually the hardest to find, because every existing system looks nearby first. CHARLéY looks further.

The matching engine combines content-based filtering, collaborative signals, and context-aware re-ranking to surface people that proximity-based algorithms would never find. A family of AI personas, led by Agent KWAME, helps users search the platform through natural conversation.

CHARLéY also includes real-time messaging with bidirectional translation, video calls, a community feed algorithm, a multi-country tribe and ethnicity system covering 90+ countries, and a two-layer content moderation system. The platform is built for the world as it actually is, not the English-speaking corner of it.

CHARLéY is the first product. It is also the proof: that it is possible to build social technology which treats the people using it as worth the effort.

Professor KWAME is a learning intelligence system. It builds a model of how each student learns and teaches to that model, not to an average.

The system combines AI-driven note-taking, adaptive quizzes, spaced repetition (built on the FSRS algorithm), and broadcast lectures. Every interaction is shaped by what the student already knows and what the research says about how memory actually works.

Professor KWAME exists because the students who most need excellent instruction are often the least likely to have access to it. The platform is built to be the teacher a student actually needs, one who stays with the material until it lands.