Many on-chain AI projects face the biggest problem not being insufficient model strength, but the smart contract's inability to determine whether the inference results are reliable. Once the results are unverifiable, AI can only remain as an auxiliary tool.

@inference_labs addresses this gap by building a verifiable inference infrastructure that disassembles the inference execution, result generation, and verification processes into an auditable framework.

This way, the contract no longer relies on a single point of trust in AI output, but on verified and constrained computational results, enabling AI to truly participate in on-chain logic and automatic decision-making.