One context layer, serving the entire enterprise.
The same context layer that reads every actor's Digital Body Language serves your customers and every team below, at once. Not nine separate tools, one shared layer, used nine different ways.
Website / Product
Digital Marketing
Omnichannel
Analytics
CRM
AI Clienteling
AI Support
CONTEXT LAYER
Analytics
Most analytics has a bias problem: it only understands actors who "survive" the funnel.
That's the 2 to 3% who convert or log in. Knowing someone is an iPhone user from New York who came from Meta doesn't tell you what they actually want.
+19% AOV uplift, +11.5% CVR uplift, insight to action in 48 hours
Segments that didn't exist before
Adaptive to the actor's current moment.
Forward-looking, not backward
Predicts what's next, not what happened.
From insight to action
Segments are executable, not just observable.
Segment Discovery
+42%
1,284
New segments identified
Coverage
+12%
100%
Intent Coverage
97%
Anonymous Users
???
Anonymous
01
Segments that didn't exist before
Adaptive to the actor's current moment, not a demographic or device label.
02
Forward-looking, not backward
Predicts what the actor is about to do, not just what they already did.
03
From insight to action
Segments pass straight into activation platforms. Insight to action in 48 hours.
The missing primitive.Built.
Explore the Platform
The Context Generation Layer of the Agentic Web
© 2026 Kahoona Inc.
New York
One context layer, serving the entire enterprise.
The same context layer that reads every actor's Digital Body Language serves your customers and every team below, at once. Not nine separate tools, one shared layer, used nine different ways.
Analytics
CRM
AI Clienteling
AI Support
Risk & Fraud
AI & Data
Agentic Commerce
Website / Product
Digital Marketing
Omnichannel
CONTEXT LAYER
By Team
Analytics
Most analytics has a bias problem: it only understands actors who "survive" the funnel.
That's the 2 to 3% who convert or log in. Knowing someone is an iPhone user from New York who came from Meta doesn't tell you much about that one actor. Kahoona works before identity, forward-looking on what an actor is about to do, not backward-looking at what a past cohort already did. And it treats humans and agents alike, instead of treating them separately.
+19% AOV uplift, +11.5% CVR uplift, insight to action in 48 hours
Segments that didn't exist before
Adaptive to the actor's current moment.
Forward-looking, not backward
Predicts what an actor is about to do.
Anonymous included, not just known
The 97% who never log in finally get measured.
Segment Discovery
+42%
1,284
New segments identified
Coverage
+12%
100%
Intent Coverage
97%
Anonymous Users
???
Anonymous
01
Segments that didn't exist before
Not rule-based, and not a model trained only on past data, adaptive to the actor's current moment.
02
Forward-looking, not backward-looking
Predicts what an actor is about to do, instead of only reporting what already happened.
03
Anonymous included, not just known
The 97% who never log in finally get measured too.
The missing primitive.Built.
Explore the Platform
The Context Generation Layer of the Agentic Web
© 2026 Kahoona Inc.
New York