About CoreNovus
We build local-first AI: workflows that run on your own hardware, from your PC to your devices.
What We Do
CoreNovus runs AI workflows on your own hardware — and only bills the cloud fallback.
Convilyn is the engine you can use today.
The Ainalyn client puts your own machine to work, and the same runtime is how verified workflows will reach edge & OEM devices.
Local inference is free. You pay only for the cloud fallback.
How the pieces fit
Convilyn today, the Ainalyn client as the bridge, OEM & edge devices as the horizon.
Convilyn — the engine today
Local-first AI file conversion and multi-step workflows. Convert and run AI on your own hardware; the cloud is only a fallback.
Ainalyn — the local client
A free desktop app that detects your GPU, NPU and CPU and runs work locally and offline. The same runtime is the bridge to running on devices.
Verification is a workflow
Proving a job ran correctly is itself a workflow you can chain after any other job. Compose your stable workflows freely; the verification step travels with them — on your desktop or on a device.
Built toward OEM & edge
Our core is building AI workflows; the market is where they run. Because stable workflows chain freely, a verification step can ride onto edge & OEM hardware over MQTT (DEP) — in step with the AI-PC and edge-computing shift.
Our Principles
Local-First by Default
Inference runs on your own hardware for free. The cloud is a fallback, not the default.
Pay Only for the Fallback
Billing applies only when a job taps the cloud, settled per sub-task — never for compute you already own.
Verification Over Declarations
Correctness is proven by a workflow that leaves a replayable, time-aligned record — not by a status that just says "OK".
One Contract, PC to Device
The same workflow and settlement model runs on desktops today and is built to reach edge & OEM devices next.