Cohere For AI's Expedition Aya was a six-week global challenge aimed at fostering collaboration among researchers to advance multilingual AI technology. The initiative attracted over 176 researchers, who formed 28 teams to work on diverse projects, each pushing the boundaries of multilingual artificial intelligence. The event concluded with a virtual competition judged by experts, where five standout projects were recognized for their innovative contributions. Among these were the MLCC: Multilingual Climate Chatbot, which enhances community data literacy regarding climate adaptation, and the Evaluating Reward Models in Multilingual Settings project, which developed a pioneering multilingual reward dataset. Other notable projects included Sanskriti Aya, which created a linguistic quality index for LLMs, The Language Effect, which examined political bias across languages, and Maya: Multimodal Aya, which addressed gaps in multilingual vision-language models. The challenge highlighted the potential of multilingual AI to connect communities globally and encouraged ongoing collaboration and development in this field.