Chatterbox embraces machine learning to derive meaningful insights from big social data. Born out of academic research, Chatterbox's Social Technology Engine encapsulates valuable IP into a modular and flexible system that can operate at scale across verticals, markets and languages.
Entrepreneurial and visionary executive with C-level, advisory and board director experience in technology start-ups. Established and managed businesses, legal entities, within UK, US and Middle East technology markets. During my career I have delivered 3 successful exits and my passion is in building technology businesses and executing the strategic plan within 3 to 5 years.
Stuart holds a PhD in Human Interaction and has a background in Computer Science. He has been analysing conversation data and working with the social web for the past 5 years.
Matt has nearly 20 years experience of research and development in commercial and academic areas, with the last 10 years focussing on computational linguistics and the study of language in interaction. After time at Cambridge University, King's College London and Stanford University, he now lectures in Human Interaction at Queen Mary.
Henrique's eclectic background spans genetic algorithm research in academia through to developing scalable social systems. He now drives software development at Chatterbox.