At first glance, SIGN looks simple — just turn data into something verifiable. But the deeper you go, the more it feels like a system designed to fix how “truth” moves across chains.
It starts with attestations: structured, signed claims. From there, you decide how to store them — full data on-chain for maximum trust, or just a hash with off-chain storage to keep things efficient. That flexibility actually makes it usable, not just theoretical.
Schemas make a big difference too. Instead of rebuilding validation logic every time you switch environments, you define it once and reuse it anywhere. That alone saves a lot of unnecessary work.
The real shift comes with zero-knowledge proofs. Instead of exposing raw data, you prove something about it. You meet conditions without revealing details, which changes how systems interact.
Cross-chain is where it gets interesting. Instead of relying on a single relayer, SIGN uses a network of TEE nodes. They fetch, decode, verify, and only after a threshold agrees, the result gets signed and pushed on-chain.