Stop being tortured by 80-page PDFs: Neutron Seeds turn contracts into AI-readable "on-chain bullets"
Have brothers encountered signing leases, buying financial products, or engaging in DeFi, only to be handed dozens of pages of PDF—everyone knows they should read it, but 99% of people just scroll to the last page and click "agree." When something goes wrong, they realize they can't even explain "how the interest rate is calculated, how penalties for breach are assessed," and can only feel anxious.
Traditional public chains are even more ridiculous: they can at most help you upload the hash of this PDF to the chain to "prove existence," but the chain itself cannot understand the content, and AI cannot directly infer on-chain; contracts are essentially "images pinned with a thumbtack."
Vanar's Neutron Seeds aim to tackle this issue. The official definition of Neutron is "semantic memory layer;" it does not simply compress file size, but first understands the semantics and then reconstructs it into an ultra-lightweight Seed: for example, a 25MB contract or video can be compressed into ~50KB Seed, and in the 2025 demonstration, a 25MB 4K video was directly compressed into 47 characters written on-chain while retaining semantics, making it directly queryable by AI.
These Neutron Seeds are not ordinary Key-Value pairs, but rather a combination of "compliant data + semantic compression": a legal clause, an entire set of financial agreements, historical tax documents, or invoices can all be transformed into searchable, inferable, and verifiable on-chain knowledge objects. The upper layer, Kayon, can ask it in natural language—"Does this contract have an automatic renewal clause?" "Does the cash flow distribution of this RWA meet regulatory requirements?"
In simple terms, on other chains, these things are merely "proof of some off-chain PDF;" on Vanar, they will become a true on-chain corpus that can be understood and audited by AI. And every time a contract is compressed into a Seed, stored on-chain, and invoked for inference by Kayon, it consumes $VANRY—memory and compliance have, for the first time, transformed into a settleable on-chain native business.
For someone like me who plays with on-chain finance and is bombarded with PDFs every day, this is the most attractive aspect of Neutron Seeds: it doesn't just help you "store a bit more data," but finally allows the data to transform from cold, hard files into "living clauses" that can be directly understood, queried, and executed by AI.
