The web was never built to understand people and agents.
We changed that.
Kahoona is the context generation layer of the web. We give any site the ability to understand and act, long before identity exists (way before log-in or authentication).
The people building it
We’ve been in the AI space way before it was cool. Having spent our careers building and solving it inside the companies that defined this ecosystem, with years at Amazon Alexa, AWS AI Infra, and Intel. We dug into HCI, behavioral sciences, AI infrastructure, cyber-security and privacy foundations, and translated this knowledge into Kahoona’s unique data modality – which we call Digital Body Language.
Our founding team led the foundations of Amazon's Personalization and Alexa Shopping’s AI team. They helped build the chips behind modern AI that became AWS’ core AI products, while leading R&D at security and privacy companies, and at Intel. It all started in their days at the Technion where they shared their love for surfing, while battling with some of the complex engineering challenges at their research labs.
“Why did Netflix and Spotify ask you about your preferences at the very first time?”
Any AI and intelligent system must have context to ignite. This is the cold-start problem.
“And do you think businesses will ask for preferences every single time?”
Definitely not! And that’s why we came up with an innovative way to solve this. For the first time, there’s no personalization-privacy dilemma. We take a privacy-by-design approach. Our solution foresees the next challenges that will arrive in the AI era.
Why we exist
Most solutions running today were built for a different internet, one where information is available everywhere and easily. Privacy, security and AI governance changed that. That era is long gone.
Most actors arrive anonymous, and everything built on top, from personalization and analytics to risk and identity, to context engineering, to the new AI agents, is left blind. With Kahoona, every business can understand and act on the actor before identity, and not just on the small fraction of those who log-in.
