Keep the intelligence.
Private work should not be forced onto weaker reasoning. Our goal is to preserve frontier intelligence quality while changing how context reaches it.
Why Laryaa exists
To subscriptions, APIs, credits, hardware—and the privacy cost of sending useful context elsewhere. Laryaa is being built so capable intelligence can work with the computers and software already there, without taking control away from the people responsible.
The origin
Raju Biswal · Founder & CEO
Before AI app builders became common, I used ChatGPT file by file inside VS Code to build a sales platform. I did not have engineering training; AI made work possible that had previously been out of reach.
But every useful step became another subscription, API, credit limit or piece of software I already had to pay for again when AI needed to use it.
The computer is already here. The software is already here. Why should AI make me pay again just to use them?
The four-way tradeoff
Private work should not be forced onto weaker reasoning. Our goal is to preserve frontier intelligence quality while changing how context reaches it.
The computer and software are already there. Use costly reasoning where it changes the outcome, not to meter every routine step.
Wave is designed to keep sensitive source context on-device. Protected requests, residual disclosure and output quality must be evaluated together.
A fluent answer is not completed work. Check the outcome, expose uncertainty and make recovery part of the workflow—not an afterthought.
The company
Building private intelligence for people, organisations, developers, platforms and devices from Hyderabad, India.