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ZKP Launches Live Presale as It Pitches a Distributed Network for Private, Verifiable AI

The project targets rising enterprise demand for verifiable private computation in AI workflows.

Overview

  • The ZKP presale and on-chain auction are active, offering early access to the network the project is promoting.
  • New analyst coverage highlights runtime privacy risks such as model inversion, prompt injection, and compliance gaps as drivers for confidential AI.
  • ZKP is described as a distributed confidential compute system that uses zero-knowledge validation to prove AI execution without revealing inputs.
  • The architecture promoted includes Proof Pods and Zero-Knowledge Wrappers, a hybrid Proof of Intelligence and Proof of Space consensus, EVM plus WASM execution, and IPFS/Filecoin storage with on-chain verification.
  • Much of the recent reporting carries sponsor disclosures, and claims of audits or operational readiness lack independent verification in the provided coverage.