NVNM Testnet is now LIVE! For documentation relating to the NVNM Closed Beta L2, visit https://legacy.docs.nvnmchain.io

Home

Welcome To NVNM Chain (L1)

NVNM Chain anchors cryptographic proofs of agent activity as agents interact with data, enabling any authorized counterparty to verify the provenance of inputs, processing, and decisions without the underlying information ever leaving its source.

A word about NVNM Chain NEXT (L1)

nvnm-tempo-testnet-1 and nvnm-tempo-devnet-1 are standalone EVM — forks of Tempo (reth execution + Commonware Simplex BFT consensus).

Gas is paid directly in nUSD; there is no native coin and no IBC bridging required, unlike nvnm-testnet-1. Get funded from the faucet here. Testnet funds carry no value.

For Closed-Beta NVNM Chain (L2)

Docs for the L2 Closed-Beta NVNM Chain (both Mainnet and Testnet, powered by MANTRA Chain) can be found here: Closed-Beta NVNM Chain L2 Site.

Our Vision

NVNM Chain is a purpose-built Layer 1 blockchain for accountability infrastructure in agentic workflows.

Designed for institutional and regulated environments, it separates verification from data exposure — anchoring cryptographic proof of what agents did without the underlying data ever leaving its lawful custodian.

NVNM Chain is The Verifiable Data Layer for Private Markets

General-purpose blockchains can store a hash, but they lack the agent identity, role-based access controls, and typed access surface that multi-party agentic workflows require. NVNM Chain is purpose-built for that gap: a dedicated substrate for anchoring cryptographic proofs of what AI agents saw, computed, and acted upon — across any data platform whose operators need their counterparties to verify the work independently, without a vendor sitting in the middle as the arbiter of truth.

  • Anchors hashes, evidence URIs, and compliance events
  • Designed for high-frequency institutional data workflows
  • Enables agentic AI systems to verify and interact with private asset data
  • Creates a tamper-evident record of every consequential action an AI agent takes
  • Maintains independent runtime and governance