Tenzro Labs
Products

Open frameworks, applications, and tools.

Every product Tenzro Labs builds contributes to the Tenzro Network — the open infrastructure for AI compute, tokenized inference and training, and autonomous-agent settlement.
Frameworks
01

Distributed training framework

Decoupled DiLoCo · verifiable receipts

A Decoupled DiLoCo–style protocol for verifiable training across heterogeneous GPU contributors. Signed receipts per outer gradient; on-chain run-root commitments per run.

  • ·Stake-bonded contributors
  • ·Byzantine-robust aggregation (roadmap)
  • ·TEE-resident data tier (roadmap)
02

Inference framework

Tokenized · streaming · verifiable

Reference implementations for tokenized AI inference — chat, vision, audio, forecasting, embeddings, segmentation, detection — with micropayment-channel billing and proof-anchored receipts.

  • ·Per-token / per-inference billing
  • ·Confidential variants via TEE enclaves
  • ·Plonky3 STARK proofs for verifiable outputs
03

Confidential compute SDK

Intel TDX · AMD SEV-SNP · Nitro · NVIDIA GPU CC

A unified SDK for running AI workloads inside hardware enclaves with on-chain attestation. Quote verification via the TEE_VERIFY precompile.

  • ·Hardware-attested model serving
  • ·Encrypted training data residency
  • ·Cross-enclave key management
Applications
04

Model marketplace

Discover · price · serve

A first-party application for publishing models to the Tenzro Network — set prices, route inference, accept TNZO, and serve users or agents through the same micropayment rails.

  • ·CLI, SDK, and MCP interfaces
  • ·Routing across multiple providers
  • ·Reputation-weighted selection
05

Training coordinator

Sponsors · contributors · escrow

Coordinates verifiable training runs — sponsors fund from on-chain escrow, contributors register stake, aggregators submit signed gradients, and the run finalizes with a public run-root.

  • ·Public run roster and receipts
  • ·Stake slashing for misbehavior
  • ·Cross-region scheduling (roadmap)
06

Agent runtime

Identity · wallets · delegation

A runtime for autonomous agents on Tenzro — self-sovereign TDIP identity, FROST-Ed25519 threshold wallets, scoped delegations, and policy-bound mandate execution.

  • ·AP2 mandates, x402 micropayments
  • ·ERC-8004 trustless-agent registries
  • ·ERC-4337 v0.8 smart accounts
Agentic orchestration
07

Agent identity & wallets

TDIP · FROST-Ed25519

Identity and threshold-signature wallets for autonomous agents — issuance, rotation, recovery, and delegation. Built on open standards and registered upstream (CAIP-2, SLIP-44, W3C DID).

  • ·did:tenzro method
  • ·Hybrid post-quantum signing
  • ·Cross-chain identity via TNZO pointers
08

Mandate & policy engine

AP2 · x402 · scoped delegation

Tooling for issuing, scoping, and enforcing agent mandates — what an agent may spend, on whose behalf, for which purpose — with on-chain auditability.

  • ·Spend caps and rate limits
  • ·Purpose-bound delegations
  • ·Revocation and replay protection
09

Settlement & micropayments

Channels · TNZO · cross-VM

Micropayment channels for high-frequency per-token billing, plus cross-VM settlement across EVM, SVM, and Canton/DAML — one balance, three views.

  • ·wTNZO on EVM, SPL adapter on SVM
  • ·CIP-56 holding on Canton
  • ·LayerZero V2, CCIP, deBridge bridges
Cluster software
10

Embedded AI cluster runtime

Jetson · embedded SoCs · ARM

Runtime and scheduler for AI clusters built on embedded AI hardware — the NVIDIA Jetson family and others — supporting model serving, batching, and distributed inference across diverse environments.

  • ·Edge, on-prem, mobile, and field deployments
  • ·Cluster autodiscovery and sharding
  • ·Federated update and rollback
11

Network bridge

Tenzro Network connectivity

Software that connects a private cluster to the Tenzro Network — registering models, accepting payments, contributing to training, or operating fully air-gapped with selective publication.

  • ·Optional public-network registration
  • ·Air-gap-friendly modes
  • ·Telemetry export, no required upstream
12

Distributed inference & training

Sharded · pipelined · streamed

Distributed inference across heterogeneous nodes — pipeline parallelism, model sharding, and streamed token delivery — with the same protocol used for verifiable training contributions.

  • ·High-performance inference across clusters
  • ·Training contribution from idle capacity
  • ·Backpressure-aware scheduling
Build with us

Need a framework adapted, a cluster built, or an agentic system designed? Talk to us.