Most chains still sell “speed” because it’s easy to measure. Vanar is betting that the next wave of adoption won’t be won by peak TPS, but by systems that stay coherent when products get complicated.
AI workflows don’t just need fast settlement. They need usable state: memory that can be referenced, reasoning that can be audited, and automation that doesn’t depend on a brittle stack of off-chain glue. Vanar’s myNeutron idea—semantic compression into programmable “Seeds” is basically an attempt to make data queryable and actionable onchain instead of being dead storage.
Then Kayon is positioned as an onchain reasoning layer that can work over that compressed, verifiable data.
In practice, that focus can matter more than raw speed because it reduces breakpoints the real cause of churn in consumer apps.