01
Yours
Your AI should be yours.
Its memory, its context, its history. Confidentiality and zero data retention are the floor, not the ceiling. Privacy here means ownership, and ownership is what lets intelligence be built from proprietary context.
Karya Infra · in development
The first piece of
something larger.
Ambient AI is where this goes. We are building it from what enterprises have taught us.
An AI that is there for you around the clock, proactive rather than waiting to be asked, carrying enough context about your work to upgrade what you already have. KChat is the first piece, shipping now. Everything else on this page is being built with a few partners, and we say so.
What everything
stands on.
Three commitments, made before a single feature. They are why KChat looks the way it does, and why the rest will too.
02
Local
Ninety percent local. Ten percent escalated.
If AI is going to watch, remember, organise, and assist all day, the small repetitive cognition has to run on the computer you already own, for near nothing. Frontier prices only where frontier intelligence produces frontier value.
03
Compounding
It should be better because it worked with you yesterday.
What happened, what worked, who matters, why a decision was made, what words mean inside your company. Software that forgets you every morning is not intelligence. Context that compounds is.
Shipping, next,
and in development.
We would rather say where a thing stands than claim it is done. Here is the honest map.
Now
KChat
Public beta
Private AI on your laptop. Chats, files, and memory on your disk; only the question crosses the line. Mac and Windows.
Next
Teams
Version two
Team seats and single sign-on, so a company can roll the private desk out to everyone without a parallel identity.
In development
The four concepts
With a few partners
Private assistance, connected context, accountable action, proactive support. Shaped in real work, stated without promises a deployment cannot yet prove.
Claims like private, offline, and zero retention are properties to be enforced, measured, and demonstrated, or marked as not yet proven. That rule applies to this page too.
Built with a few partners.
Shaped by their work.
This is a research conversation, not a sales call.
Everything we have learned about enterprises, we learned by sitting with the work. If you want ambient AI to be built around how your people actually operate, tell us what they should be able to trust it with.