Now
Ainalyn
Offline marketplace, local inference, sub-function licensing & proof.
Engineering Trust Infrastructure
We start with desktop sub-task markets, and scale toward IoT devices that run and trade them natively.
Local-first runtime. Offline by default. IoT by design.
Free local inference. Billed only when API fallback is used.
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0-wait. Local engine boots instantly.
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Scanning hardware: GPU → NPU → CPU.
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Best local runtime selected. No internet required.
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Sub-Function assets activate in parallel.
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Evidence converges into a unified timeline.
VERIFIED Safe to trade. Safe to deploy. Ready for IoT.
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Local verification ends arguments.
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Sub-task settlement proves accountability.
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Confidence ships with evidence.
The Problem We Solve
We solve failures where they actually begin: timing, state, recovery, retries, aborts — the implicit system assumptions that break real deployments.
Local Execution First
Detects GPU, NPU, CPU locally and runs inference 100% offline, always free.
Verifiable Delivery
Trades the real product unit: Sub-Function Asset Bundles, not visible UI features.
Sub-Task Metering
Billing applies only when API fallback is triggered, settled per sub-function, not seat licenses.
Roadmap
Our Direction
Ainalyn seeds our IoT future — where verified sub-functions install and activate directly on devices.
Next
IoT Runtime Delivery
Device-level installation and activation of verified sub-functions.
Future
Domain Behavior Standards
Shared behavior baselines that scale ecosystems, not arguments.