Hypothesis AI is an innovative collaborative annotation platform that leverages artificial intelligence to enhance scholarly reading, discussion, and knowledge sharing. The platform enables researchers, educators, and students to highlight, annotate, and comment on academic articles, web pages, and digital documents in real time. Hypothesis AI's intelligent features include semantic tagging, sentiment analysis, and context-aware recommendations, helping users discover related research and engage in meaningful discourse. The platform supports group collaboration, public and private annotation layers, and integration with learning management systems, making it ideal for academic courses, journal clubs, and research teams. Hypothesis AI's open-source foundation and commitment to interoperability foster transparency and community-driven innovation. With robust privacy controls and compliance with academic standards, Hypothesis AI is trusted by universities, publishers, and research organizations worldwide. Its AI-driven analytics provide insights into engagement, knowledge gaps, and emerging trends, empowering the global research community to advance scientific understanding.