Verifiable inference using ZKPs enables trustless, private AI across industries like finance, telecom, and robotics. With a projected $10–15B market by 2025, Inference Labs’ Subnet 2 and Sertn are pioneering cost-effective decentralized AI for enterprises, developers, and governments.

A collaborative investigation between Subnet 2 and Subnet 12 and its findings.

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Omron has now processed over 281 million zkML proofs — all verified in an open, decentralized network. Among the top proving environments by proof volume, with live performance data available to anyone.

Reddit’s UK age verification relies on unverifiable trust, exposing sensitive data to third parties. True confidentiality requires verifiable Proof of Inference and zero-knowledge systems.

Our focus in August remains the same: scaling zkML proof volumes, refining decentralized proving infrastructure, making verification practical for builders.

Zero-knowledge proofs (ZKPs) improve the verifiability of media authenticity, ensuring content remains unaltered while preserving privacy.