AI workflows that run on your own hardware

From your AI PC to your OEM devices — one workflow-and-settlement contract everywhere.
Start today with Convilyn: convert and run AI workflows locally, so your files never leave your machine.
Free local inference. Billed only when cloud fallback is used.

0-wait. Local engine boots instantly.

Scanning hardware: GPU → NPU → CPU.

Best local runtime selected. No internet required.

Workflow steps run locally, in parallel.

Evidence converges into a unified timeline.

VERIFIED Safe to trade. Safe to deploy. Ready for IoT.

Your hardware does the work — free and offline.

Verification is a workflow, not a claim.

Billed only when cloud fallback runs.

How It Works

AI runs on your own hardware first. Only the parts your machine can't handle fall back to the cloud — and that's the only thing you pay for. Stable workflows chain together freely, so the same contract runs on your PC today and on edge & OEM devices next.

Runs on your hardware

Convilyn and the Ainalyn client detect your GPU, NPU and CPU and run inference locally. Your files never leave your machine, and local execution is free.

Verification is a workflow, not a claim

Checking that a job ran correctly is itself a workflow — one you can chain after any other. The same verification runs on your desktop today, or directly on a device next.

Pay only for the fallback

Billing applies only when a job taps the cloud, settled per sub-task — not seat licenses, not subscriptions for compute you already own.

Roadmap

Our Direction

Convilyn runs AI workflows on your own hardware today. The same local runtime extends to edge & OEM devices tomorrow.

Now

Convilyn

Local-first AI file conversion & workflows. Run AI on your own hardware today; pay only for cloud fallback.

Next

Ainalyn on Devices

Chain stable workflows and run them — verification included — on edge & OEM devices over MQTT, under the same workflow-and-settlement contract.

Future

OEM Ecosystem & Verification Standards

Verified workflows that install on devices, with shared behavior baselines across vendors.

Every phase runs on one control plane — CoreNovus API Console