Tenzro Network

Tenzro is the open, distributed execution layer for AI. Inference, agents, and workflows run across a network of independent nodes instead of one company's servers. Any machine can serve a model, rent out spare compute, and hold data — one stake covers every role, and TNZO settles all of it: consumers pay from their balance, providers earn into theirs. Underneath sit the substrate layers that make execution open — multi-VM settlement (EVM, SVM, Canton/DAML), cross-chain reach, one identity (TDIP), and one settlement asset (TNZO).

What is Tenzro?

The open, distributed execution layer for AI. Tenzro is where inference happens, where agents act, and where workflows run — across a network of independent nodes rather than one company's servers. The thesis is straightforward: AI needs somewhere to run that no single provider controls. That means nodes anyone can join, a way to pay for what you use and earn for what you serve, and proofs anyone can check. Today inference and compute live behind opaque centralized APIs, identity is rebound at every protocol boundary, and value can't cross from EVM to Canton without giving up custody. Tenzro fixes this at the protocol layer.

• Multi-role nodes: one node, one stake, many roles. A node can serve AI models, rent out spare compute, and hold data at the same time — a single stake covers every role it takes on. Compute rental is availability-proof-gated and billed per epoch; storage is proof-of-retrievability-gated and billed per byte-epoch. In every case the consumer pays from their TNZO balance and the provider earns into theirs.
• Decentralized AI + compute orchestration: agents and humans discover and access AI inference (chat, vision, audio, forecasting, embeddings, segmentation, detection), rentable compute capacity, and TEE-backed confidential compute (Intel TDX, AMD SEV-SNP, AWS Nitro, NVIDIA GPU CC) through a single protocol-level marketplace with per-use billing, reputation scoring, and on-chain verifiability. Providers are sovereign — anyone can run a model, expose an endpoint, or contribute compute, and earn TNZO directly. The inference router (price / latency / reputation / weighted strategies) and the agent-spawning + swarm-orchestration primitives let agents compose multi-model, multi-provider workflows without trusting any one party.
• Universal identity (TDIP): one DID for humans, delegated agents, and autonomous agents that works on EVM (via ERC-8004 mirror), SVM, Canton (CIP-26 user binding), AP2 mandates, x402 micropayments, and OAuth/DPoP — same identity, same delegation scope, same revocation surface.
• Universal wallet (FROST-Ed25519 + ML-DSA-65 hybrid PQ): threshold-secured, hardware-attestable, and one balance shared across three VM views — wTNZO ERC-20 on EVM, SPL adapter on SVM, CIP-56 holding on Canton. No bridge risk, no liquidity fragmentation. Pointer-model native asset.
• Universal settlement (TNZO): bridge fees, inference fees, escrow, micropayment channels, training-run grants, and cross-chain destination-native fees (via the Chainlink-backed bridge fee oracle) all denominated and accounted in TNZO.
• Cross-chain reach as a wire primitive: LayerZero V2, Chainlink CCIP, Chainlink CCT, Wormhole + NTT, deBridge DLN, LI.FI, Hyperlane V3, Axelar GMP, Babylon Bitcoin staking, and Canton — all behind one ERC-7683 envelope with BridgeFeeHint. Users sign once, solvers pick the bridge.
• Multi-VM execution: EVM (revm + 9 standard precompiles + 7 BLS12-381 EIP-2537 + 13 Tenzro precompiles) + SVM (solana-svm with SPL Token Program dispatch) + Canton 3.5+ DAML — every c

... View full README on GitHub