Kahoona Information

Kahoona was founded in 2022 by Gal Rapoport and Alon Ashkenasi - AI, privacy, cybersecurity, and behavioral analytics experts who previously led personalization at Amazon. Every AI or intelligent system, from personalization engines, data platforms, fraud & risk solutions, to conversational AI agents, suffer from the AI cold-start problem. They cannot generate context about the actor, user or agent, before identity exists and depend on it to function. The web was never built with a context layer, and every system built on top of it is unable to understand and act on >96% of the actors on the web. Kahoona is the context generation layer of the web, an AI infrastructure that gives every digital property the ability to understand every visitor or agent before identity exists. It generates decision-ready context, with a privacy-by-design approach (no PII), with a site-native script that reads anonymous actors and their Digital Body Language (Kahoona’s unique HCI data modality) and with site-specific AI models Kahoona serves continuously learnt context both for the enterprise teams and for the end-users. Kahoona is focusing on ‘how’ actors behave rather than ‘what’ they do. Kahoona does not enrich, match, or aggregate existing data. It generates intelligence that did not exist before. The adaptive intelligence is live, persistent and feeds every downstream system that needs to understand, decide and act: It is the input layer that digital stacks were always missing. Winner of the LVMH Award for Best Business Impact, and Kering Innovation Award, Kahoona’s AI Hyper-Personalization is scaling across digital and omnichannel teams within ecommerce brands, CPG & retail, travel & hospitality, financial services & insurance, telecom, and more. Headquartered in New York.