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 contract, every instruction, every command runs against the same identity, same wallet, same TNZO balance.
• AI inference, generation, and training as protocol-level economic activity: providers earn TNZO for serving models (chat, vision, audio, forecasting, embeddings, segmentation, detection), rendering diffusion image and video jobs (Tenzro Media Gen), running TEE enclaves, and contributing GPU compute to verifiable training runs (Tenzro Train). Inference results, settlements, and identity claims are verifiable on-chain via Plonky3 STARKs over the KoalaBear field (transparent setup, post-quantum-conjectured soundness) or attested by hardware enclaves (Intel TDX, AMD SEV-SNP, AWS Nitro, NVIDIA GPU CC) — both anchored via ZK_VERIFY and TEE_VERIFY precompiles.
• Humans as peer identity class: HITL escalation, guardian-quorum recovery, AP2 cart/intent/payment mandates, and delegation scopes are wire primitives, not adapter-layer features.

Tenzro Network is also the reference implementation of the Open Agent Network (OAN) — the standards family (TNIP-001..022) for a hybrid human + agent coexisting network. OAN provides the governance framework; Tenzro Network is the working implementation. The wire stays open for other implementations.

Compute as Currency

Tenzro turns AI compute into a unit of economic exchange — denominated, settled, and verified in TNZO. Four surfaces share the same identity, payment, and settlement substrate:

• Tokenized AI inference. Anyone can run AI models (chat, vision, audio, forecasting, embeddings, segmentation, detection) and offer them on the marketplace. Users and agents pay per token (or per inference); providers earn TNZO directly. Confidential variants run inside TEE enclaves (Intel TDX, AMD SEV-SNP, AWS Nitro, NVIDIA GPU CC). Micropayment channels make high-frequency, low-value billing efficient.
• Tokenized AI training (Tenzro Train). Decentralized verifiable training using a data-parallel protocol with decoupled outer synchronization. GPU providers contribute compute and earn TNZO; sponsors fund runs from on-chain escrow. Every accepted outer gradient produces a signed receipt, and every run finalizes a run-root commitment on-chain. Phase 1 covers timeseries first, with simple mean aggregation, stake bonding, and the Open trust tier; Byzantine-robust aggregation, multi-region scale, and TEE-resident data are roadmap.
• Tokenized media generation (Tenzro Media Gen). Diffusion image and video jobs are posted with a price ceiling, claimed by a worker, rendered, and settled against a signed receipt over what was produced. The work unit is the pixel-step (width × height × steps × frames). Models whose transformer is split into a high-noise and a low-noise expert render across two accelerators that could not each hold the whole model: exactly one intermediate latent crosses between the halves, and the payment divides by the share of the denoising schedule each half signed for.
• Agentic finance. Autonomous agents discover providers, negotiate, pay, and settle in TNZO using the same TDIP identity, FROST-Ed25519 threshold wallet, and delegation scope. AP2 mandates, x402 micropayments, ERC-8004 trustless-agent registries (mirrored across EVM, SVM, and DAML from a single TDIP write), and ERC-4337 v0.8 smart accounts all run inside Tenzro consensus.

Verifiability is not optional. Inference results, settlements, and identity claims can be proven via Plonky3 STARKs over the KoalaBear field (transparent setup, post-quantum-conjectured soundness) or attested by hardware enclaves — both anchored on-chain via the ZK_VERIFY and TEE_VERIFY precompiles. Tenzro unifies inference, compute rental, storage, training, agent settlement, identity, verification, and cross-chain reach under one open execution layer — not raw GPU rental and not subnet coordination, but the full surface where AI runs.

The Combination

Individually, the pieces exist elsewhere. What Tenzro composes into one network is the combination: verifiable AI inference and training, confidential compute, multi-modal serving, and agent settlement, all under one identity, one settlement asset, and one consensus layer.

Tenzro combines EVM + SVM + Canton/DAML in a single network — and DAML is the execution environment the institutional RWA surface (regulated tokenized treasuries, bank deposit tokens, CIP-56 settlement) is converging on. That breadth is the substrate; the execution layer for AI is what rides on top of it.

On that substrate, retail-agent rails (AP2 mandates, x402 micropayments, ERC-8004 trustless agents, ERC-4337 v0.8 smart accounts) and institutional-RWA rails (Canton DAML, CIP-56 tokens, DvP settlement) share one identity (TDIP), one settlement asset (TNZO), and one consensus layer.

Two more architectural calls worth flagging:

• Confidential agent compute is a consensus primitive, not a sidecar. TEE-attested validators get a 1.5× multiplier on their reputation-weighted leader-selection draw; the TEE_VERIFY precompile verifies real Intel TDX, AMD SEV-SNP, AWS Nitro, and NVIDIA GPU CC quotes on-chain — attested execution is built into consensus, not bolted on as middleware over a non-TEE chain. Tenzro consensus is two-phase HotStuff-2 with reputation-weighted proposer election, no-endorsement certificates for tail-fork resistance, and Ed25519 + ML-DSA-65 hybrid post-quantum signatures on every safety-critical message.
• TNZO is a pointer-model native asset. One balance, three VM views (wTNZO ERC-20 on EVM, SPL adapter on SVM, CIP-56 holding on Canton) — no bridge risk, no liquidity fragmentation. Registered upstream via CAIP-2 (tenzro namespace), SLIP-44 (1414421071 / 0xd44e5a4f), and W3C DID (did:tenzro).

For the full architecture see docs/WHITEPAPER.md and docs/SPECIFICATION.md.

Architecture