Tenzro Documentation

Welcome to the Tenzro Documentation! This comprehensive guide is designed for developers, technical stakeholders, and supporters who wish to delve deep into the architecture, components, and functionalities of the Tenzro Ecosystem. Whether you're looking to integrate with Tenzro, develop decentralized applications (dApps), or contribute to the project, this documentation provides all the necessary technical insights.

Table of Contents

  1. Introduction

  2. Architecture Overview

  3. Core Components

  4. Modular Design

  5. Programmability

  6. Security

  7. Governance

  8. Interoperability

  9. Validation Mechanism

  10. Tenzro Digital Asset Standards

  11. Network Functionalities

  12. Deployment and Setup

  13. Developer Resources

  14. Use Cases

  15. Troubleshooting

  16. Contribution Guidelines

  17. Glossary

  18. Contact and Support

Introduction

What is Tenzro?

Tenzro is an innovative technology ecosystem designed to enable decentralized intelligence through its secure hierarchical peer-to-peer (P2P) network and a blockless distributed ledger. By integrating advanced distributed ledger technology with artificial intelligence, Tenzro offers a unique framework for decentralized applications, designed for data integrity, security, and accessibility.

Architecture Overview

The Tenzro Ecosystem is built to facilitate intelligent data interactions without relying on centralized servers. The architecture is composed of two primary components:

  • Tenzro Network: Facilitates distributed data processing, secure data sharing, and decentralized AI training across a secure and intelligent network of devices.

  • Tenzro Ledger: Manages secure, real-time, and fee-free transactions through a hierarchical, blockless structure divided into Datachains, Territories, and the global Ledger.

This modular and scalable architecture is designed to adapt to various use cases, from AI model training to secure digital asset management.

Core Components

Tenzro Network

Tenzro Network is the foundational peer-to-peer (P2P) platform within the Tenzro Ecosystem. It enables distributed data processing, secure data sharing, and decentralized AI training by connecting devices of all types and capacities in a secure, intelligent network.

Key Features

  • Distributed Data Processing: Leverages the collective power of connected devices to handle complex AI and machine learning tasks.

  • Secure Data Sharing: Makes sure that data is shared securely across the network without compromising privacy.

  • Decentralized AI Training: Facilitates the training of AI models in a decentralized manner, enhancing efficiency and scalability.

  • Edge Computing: Supports AI and ML operations at the edge, reducing latency and improving performance.

  • Expand Hardware Compatibility: Allows devices without validator capabilities to request validation from hardware-verified nodes within the network, enabling effective system usage without being validators.

Node Types

Tenzro Network categorizes nodes based on their hardware capabilities into four types:

  1. Inference Nodes

    • Purpose: Run AI models to make predictions and analyze data in real-time.

    • Examples: Phones, personal devices, edge devices.

    • Capabilities: Typically equipped with processing power to handle AI inference tasks.

  2. Aggregator Nodes

    • Purpose: Collect and consolidate data from multiple Inference Nodes.

    • Examples: More powerful computers like GPU-equipped devices.

    • Capabilities: Manage and organize data streams for processing and storage.

  3. Training Nodes

    • Purpose: Train AI and machine learning models using aggregated data.

    • Examples: Small to medium data centers.

    • Capabilities: High-performance hardware to handle intensive training computations.

  4. Feedback Nodes

    • Purpose: Monitor network performance and provide insights for optimization.

    • Examples: Medium to large data centers, cloud service providers.

    • Capabilities: Analyze operational metrics to enhance network efficiency and reliability.

Hierarchical Structure

The Tenzro Network operates on a hierarchical P2P structure that categorizes devices into different node types based on their hardware capabilities. This structure is designed to achieve optimal task distribution, efficient resource utilization, and scalability.

  • Node Hierarchy:

    • Territory Nodes: Must be within or above the Aggregator Node types.

    • Global Ledger Nodes: Must be within or above the Training Node types.

This hierarchy ensures that only nodes with sufficient capabilities and security measures participate in higher-level validation and ledger management.

Tenzro Ledger

Tenzro Ledger is the advanced distributed ledger system that underpins the Tenzro Ecosystem. It facilitates secure, real-time, and fee-free transactions through a hierarchical, blockless structure divided into three layers: Datachains, Territories, and the global Ledger.

Ledger Layers

  1. Datachains

    • Description: Localized chains that use hardware-based validation through Trusted Platform Modules (TPMs).

    • Function: Enable real-time, fee-free transactions, allowing users to transact seamlessly within their local environment, with or without access to the internet.

    • Benefits: Enhanced security and instant transaction validation without associated fees, offline use.

  2. Territories

    • Description: Clusters of Datachains that group together for regional validation and management.

    • Function: Handle transactions and asset transfers that span multiple Datachains, for consistency and reliability.

    • Benefits: Efficient resource management and scalable validation processes across regions.

  3. Ledger

    • Description: The global anchoring layer that synchronizes all Territories and provides interoperability with external blockchains.

    • Function: Acts as the main ledger for the entire network, facilitating cross-chain transactions and asset interoperability.

    • Benefits: Provides a unified and secure foundation for the entire ecosystem, enabling seamless interactions with other blockchain platforms.

Modular Design

Network Modules

The Tenzro Network is designed with modularity in mind, allowing individual components to be developed, upgraded, or replaced independently. This modular approach enhances flexibility, scalability, and maintainability.

  • Node Categorization Module: Responsible for classifying nodes based on hardware capabilities.

  • Task Management Module: Manages the distribution and allocation of tasks across nodes.

  • Data Processing Module: Handles the processing and analysis of data.

  • Security Module: Implements security protocols and ensures the integrity of data transactions.

Ledger Modules

Similarly, the Tenzro Ledger is structured into distinct modules to ensure seamless operation and integration.

  • Datachain Module: Manages local, hardware-validated transactions.

  • Territory Module: Oversees regional transaction validation and resource allocation.

  • Ledger Module: Provides global synchronization and interoperability with external blockchains.

  • Smart Contract Module: Facilitates the creation and execution of smart contracts within the ledger.

Programmability

Smart Contracts

Tenzro supports the creation and deployment of smart contracts, enabling automated agreements and processes within the ecosystem.

  • Automated Transactions: Smart contracts can automate the execution of transactions based on predefined conditions.

  • Governance: Facilitate decentralized governance by allowing stakeholders to vote on proposals and changes.

  • Asset Management: Manage digital assets, including creation, transfer, and ownership rights.

APIs and SDKs

Tenzro provides comprehensive APIs and SDKs to facilitate seamless integration with existing applications and the development of new decentralized solutions.

  • RESTful APIs: Enable interaction with the Tenzro Network and Ledger for data retrieval, transaction submission, and asset management.

  • SDKs: Offer tools and libraries for JavaScript/TypeScript and Python to simplify the development process.

  • Documentation: Detailed guides and references to assist developers in leveraging Tenzro’s functionalities.

Developer-Friendly Features:

  • Familiar Programming Languages: Utilize JavaScript/TypeScript and Python, making it accessible for a wide range of developers.

  • Developer-Friendly Tooling: Comprehensive tools and resources to build AI-powered dApps without the complexities of Web3.

  • Cost-Effective Resources: Access cheaper resources for AI, compute, storage, and more compared to traditional cloud service providers.

AI & ML Integration

Tenzro integrates artificial intelligence and machine learning capabilities directly into the network, empowering decentralized intelligence.

  • Model Deployment: Deploy AI and ML models across the network for distributed inference and training.

  • Data Aggregation: Collect and aggregate data from various sources to enhance model training and accuracy.

  • Decentralized Learning: Facilitate federated learning, allowing models to be trained collaboratively without centralizing data.

Security

Trusted Platform Modules (TPMs)

Trusted Platform Modules (TPMs) are specialized hardware components that provide secure cryptographic functions.

  • Hardware-Based Validation: TPMs are used to securely validate and sign transactions within Datachains.

  • Secure Key Storage: Protect cryptographic keys from unauthorized access.

  • Tamper Detection: Detect and prevent unauthorized modifications to hardware and software.

Cryptographic Protocols

Tenzro uses advanced cryptographic protocols to ensure data security and integrity.

  • Quantum-Resistant Cryptography: Protects against potential future quantum computing threats.

  • Hashing Algorithms: Utilize SHA-256 and other secure hashing algorithms to guarantee data integrity.

  • Encryption: Data is encrypted both in transit and at rest to prevent unauthorized access.

Consensus Mechanism

Tenzro's Proof of Authenticity consensus mechanism is based on hardware verification rather than traditional Proof of Stake (PoS).

  • Validator Requirements: Any participant with hardware verification (TPM, TEE, Secure Enclave, etc.) can become a validator.

  • Decentralized Validation: Validators are distributed across the network, guaranteeing no single point of failure.

  • Efficient Consensus: Hardware-based validation allows for faster and more efficient consensus compared to PoS or Proof of Work (PoW) systems.

  • Validator Tier Determination: Validator tiers are determined based on hardware capabilities, ensuring that more powerful and secure nodes handle higher-tier validation tasks.

Security Measures Beyond Hardware

Beyond hardware-based security, Tenzro implements comprehensive security measures to protect the network and its participants.

  • Network-Level Protections: Implement robust firewall rules, intrusion detection systems (IDS), and intrusion prevention systems (IPS) to safeguard against external threats.

  • Anomaly Detection Systems: Utilize AI and ML algorithms to monitor network traffic and detect unusual patterns that may indicate security breaches or malicious activities.

  • Regular Security Updates: Continuously update the network software to patch vulnerabilities, enhance security protocols, and improve overall system resilience.

  • Multi-Layer Security: Incorporate additional security layers, such as encryption protocols, secure communication channels, and regular security audits to ensure comprehensive protection.

  • User Education: Provide resources and guidelines to educate users on best security practices, ensuring that they can effectively safeguard their assets and interactions within the ecosystem.

Governance

DAO Structure

The Tenzro Ecosystem is governed by a Decentralized Autonomous Organization (DAO), ensuring that decision-making processes are transparent, democratic, and community-driven.

  • Decentralized Governance: All major decisions regarding the ecosystem's development, upgrades, and policies are made collectively by DAO members.

  • Transparency: All proposals, discussions, and voting outcomes are recorded on the blockchain, ensuring full transparency and accountability.

Governance Tokens

Participants in the Tenzro ecosystem can influence governance through governance tokens, which are obtained by staking the utility tokens.

  • Staking Mechanism: Users stake their Tenzro utility tokens to receive governance tokens.

  • Governance Participation: Governance tokens allow holders to vote on proposals, submit new proposals, and participate in other governance activities.

  • Incentives: Staking rewards and incentives encourage active participation in the governance process.

Voting and Proposals

The governance framework enables active and fair participation from the community.

  • Proposal Submission: Any governance token holder can submit proposals for changes, upgrades, or new initiatives within the ecosystem.

  • Voting Process: Proposals are subject to voting by governance token holders. The outcome is determined by the majority vote, considering the weight of each participant's governance tokens.

  • Implementation: Approved proposals are executed automatically by smart contracts, ensuring that changes are implemented without central authority intervention.

Interoperability

Cross-Chain Transactions

Tenzro facilitates seamless cross-chain transactions, enabling assets and data to move freely between different blockchain platforms.

  • Bridging Mechanisms: Utilize smart contracts and APIs to establish bridges between Tenzro Ledger and external blockchains.

  • Asset Portability: Transfer digital assets such as tokens and digital assets across chains without losing their properties or provenance.

  • Unified Standards: Adopt standardized protocols to ensure compatibility and interoperability with various blockchain ecosystems.

External Blockchain Integration

Tenzro Ledger is designed to interact with external blockchains, enhancing its functionality and expanding its use cases.

  • Interoperable Asset Standards: Ensure that assets created within Tenzro can be recognized and utilized by other blockchain platforms.

  • Anchoring Mechanisms: Anchor critical metadata and Merkle roots to external blockchains for enhanced security and verification.

  • Collaborative Projects: Enable joint projects and collaborations that span multiple blockchain networks, fostering innovation and growth.

Diverse Interoperability Bridges

To enhance interoperability, Tenzro plans to introduce multiple bridges and create standard protocols to facilitate seamless cross-chain interactions.

  • Multiple Bridges: Developing bridges to various blockchain platforms ensures that Tenzro can interact with a wide range of ecosystems, broadening its applicability and user base.

  • Standard Protocols: Creating and adopting standardized protocols for cross-chain communication simplifies integration processes, reduces compatibility issues, and promotes uniformity across different blockchain platforms.

Validation Mechanism

Local Hardware Validation

Local Hardware Validation is the first layer of validation within the Tenzro ecosystem, providing security and integrity of transactions at the Datachain level.

  • Trusted Platform Modules (TPMs): Utilize TPMs to securely validate and sign transactions.

  • Real-Time Validation: Enable instant transaction validation without relying on network-wide consensus.

  • Fee-Free Transactions: Validate transactions locally without incurring fees, making it ideal for everyday use.

Territory Validation

Territory Validation serves as the regional consensus layer, managing transactions that span multiple Datachains.

  • Clustered Datachains: Territories group multiple Datachains for regional validation and resource management.

  • Cross-Datachain Transactions: Validate and manage transactions that involve assets across different Datachains.

  • Consistency and Reliability: Ensure data consistency and transaction reliability within the territory.

  • Node Classification for Territories:

    • Territory Nodes: Must be within or above the Aggregator Node types.

    • Function: Provide enhanced capabilities for asset transfers, transaction validations, and resource management within the territory.

Ledger Validation

Ledger Validation is the global anchoring layer that synchronizes all Territories and ensures interoperability with external blockchains.

  • Global Consensus: Achieve consensus on a global scale by synchronizing data across all Territories.

  • Blockchain Anchoring: Anchor Merkle roots and critical metadata to the global Ledger and external blockchains.

  • Interoperability Management: Oversee cross-chain transactions and ensure seamless asset transfers between Tenzro and other blockchain platforms.

  • Node Classification for Ledger:

    • Ledger Nodes: Must be within or above the Training Node types.

    • Function: Manage the global ledger, ensuring synchronization and interoperability with external systems.

Hardware Verification for Validators

Hardware Verification is a mandatory requirement for all validators within the Tenzro ecosystem, ensuring that only trusted and secure devices participate in the validation process.

  • Hardware Security Features: Validators must possess hardware security features such as TPMs, Trusted Execution Environments (TEEs), or Secure Enclaves.

  • Verification Process: The network verifies the hardware security features of each validator before granting validation rights.

  • Trusted Manufacturers: Only hardware from trusted manufacturers is considered for validator eligibility.

  • Enhanced Security: Hardware verification protects against malicious actors and ensures the integrity of the validation process.

Key Points:

  • Unlike Proof of Work (PoW) or Proof of Stake (PoS), the only requirement to be a validator in Tenzro is possessing the necessary hardware capabilities.

  • Validator tiers are determined based on the hardware specifications, ensuring that higher-tier validators handle more critical validation tasks.

Tenzro Digital Asset Standards

Introduction

Tenzro's ecosystem is designed to facilitate the secure creation, management, and exchange of digital assets in a decentralized, tamper-proof environment. These assets include tokens, digital assets, data containers, datasets, AI models, digital twins, and more. Each asset type follows strict standards to ensure interoperability, security, and scalability.

Key Features of Tenzro's Asset Standards:

  • Provenance Tracking: Assets are tracked across their lifecycle using hashes and Merkle trees, ensuring transparency and authenticity.

  • Tamper-Proofing: Use of cryptographic hashing and blockchain anchoring to detect and prevent unauthorized modifications.

  • Blockchain Anchoring: Critical metadata and Merkle roots are anchored to blockchains for immutability.

  • Smart Contracts: Automated agreements govern usage, royalties, licensing, and ownership.

  • AI Integration: Assets can directly power AI workflows, such as training models or generating new content.

  • Access Control: Hardware-backed authentication and flexible policies ensure secure asset management.

  • Future-Proofing: Standards are adaptable to emerging technologies and use cases, including simulations and advanced workflows.

Asset Types

1. Tokens

Tokens represent fungible digital assets used for governance, payments, resource allocation, or staking within the Tenzro ecosystem.

Metadata Schema

Field
Type
Description

id

string

Unique identifier for the token.

symbol

string

Token symbol (e.g., "TUXT").

supply

double

Total supply of the token.

decimal_places

int

Number of decimal places supported.

issuer

string

Creator or issuer of the token.

metadata

object

Additional properties (e.g., purpose, use cases).

hash

string

SHA-256 hash of the metadata.

blockchain_anchor

string

Blockchain transaction ID anchoring the token metadata.

Example JSON

{
  "id": "token-12345",
  "symbol": "TUXT",
  "supply": 500000000,
  "decimal_places": 18,
  "issuer": "tenzro-network",
  "metadata": {
    "purpose": "Governance",
    "use_cases": ["Payments", "Staking"]
  },
  "hash": "sha256-hash-of-metadata",
  "blockchain_anchor": "0xBlockchainTransactionID"
}

Tokenomics:

  • Total Supply: 500,000,000 TUXT.

  • Utility: All transactions and fees within the network are paid using the TUXT token.

  • Accessibility: The TUXT token will be listed on centralized exchanges (CEXes) to ensure accessibility outside the ecosystem.

  • Incentives: Participants earn TUXT tokens by contributing compute power, storage, data, and models to the network.

2. Digital Assets

Digital Assets represent unique items within the Tenzro ecosystem, ranging from intellectual property and art to utility assets or collectibles. They are enhanced with detailed metadata, provenance tracking, and integration capabilities with AI and smart contracts.

Key Features

  • Provenance Tracking: Each state of the asset creation process is hashed and stored in a data chain. A Merkle tree is generated, with the Merkle root representing the entire provenance chain.

  • Tamper Detection: Any modification to the asset or its metadata changes the hash, which can be detected through verification against the blockchain-anchored Merkle root.

  • AI Model Training: Digital Assets can be used as datasets to train AI models, with the provenance data ensuring authenticity and traceability.

Metadata Schema

Field
Type
Description

id

string

Unique identifier for the digital asset.

name

string

Name of the digital asset.

description

string

Description of the asset.

creator

string

Creator of the asset.

attributes

array

List of unique attributes for the asset.

linked_assets

array

IDs of associated physical or digital assets.

collection_id

string

Optional identifier for asset collections.

provenance

array

History of ownership, modifications, or usage.

hash

string

SHA-256 hash of the metadata and asset states.

merkle_root

string

Merkle root of the asset's provenance chain.

blockchain_anchor

string

Blockchain transaction ID anchoring the asset's Merkle root.

Example Lifecycle

  1. Create Artwork by Saving States in a Data Chain

    • State 1: Initial Sketch (state1.png)

      • hash1 = SHA-256(state1.png)

    • State 2: Added Colors (state2.png)

      • hash2 = SHA-256(hash1 + state2.png)

    • State 3: Added Details (state3.png)

      • hash3 = SHA-256(hash2 + state3.png)

    • State 4: Final Artwork (state4.png)

      • hash4 = SHA-256(hash3 + state4.png)

  2. Generate Merkle Tree

    • Create a Merkle tree from the hashes (hash1, hash2, hash3, hash4).

    • Compute the Merkle root representing the entire provenance chain.

  3. Mint Digital Asset

    • Include the Merkle root and metadata in the asset.

    • Anchor the Merkle root on the blockchain.

  4. Validate Provenance

    • Use Tenzro's validation tools to confirm the asset's authenticity by verifying the Merkle root against the blockchain record.

  5. AI Model Training

    • Use the asset's provenance data and linked files to train AI models.

    • The AI model can replicate the artist's process or generate new works in the same style.

    • The provenance ensures the dataset's authenticity and traceability.

Example JSON

{
  "id": "digital-asset-56789",
  "name": "Tenzro Genesis Artwork",
  "description": "An exclusive piece of art with detailed provenance.",
  "creator": "artist123",
  "attributes": [
    {"trait_type": "Medium", "value": "Digital"},
    {"trait_type": "Style", "value": "Abstract"}
  ],
  "linked_assets": ["state1.png", "state2.png", "state3.png", "state4.png"],
  "collection_id": "collection-001",
  "provenance": [
    {"state": "State 1", "hash": "hash1", "timestamp": "2024-11-22T10:00:00Z"},
    {"state": "State 2", "hash": "hash2", "timestamp": "2024-11-22T11:00:00Z"},
    {"state": "State 3", "hash": "hash3", "timestamp": "2024-11-22T12:00:00Z"},
    {"state": "State 4", "hash": "hash4", "timestamp": "2024-11-22T13:00:00Z"}
  ],
  "hash": "sha256-hash-of-metadata-and-states",
  "merkle_root": "merkle-root-of-provenance-chain",
  "blockchain_anchor": "0xBlockchainTransactionID"
}

3. Data Containers

Data Containers represent collections of files, codebases, or project resources, enabling secure sharing, collaboration, and code integrity verification.

Key Features

  • Metadata Generation Tool: A command-line tool scans the codebase and generates metadata, including file structures and hashes.

  • Tamper Detection: Hashes of files and Merkle trees allow verification of codebase integrity.

  • Blockchain Anchoring: Merkle roots are anchored to blockchains for immutable verification.

Metadata Schema

Field
Type
Description

id

string

Unique identifier for the data container.

name

string

Name of the container.

description

string

Description of the container.

creator

string

Creator of the container.

project_type

string

Type of project (e.g., "codebase", "documentation").

file_structure

object

Nested structure of files and directories.

file_hashes

object

Map of file paths to their SHA-256 hashes.

version

string

Version of the data container.

root_hash

string

Root hash of the Merkle tree computed from file_hashes.

blockchain_anchor

string

Blockchain transaction ID anchoring the Merkle root.

timestamp

string

Timestamp of the last update.

Example JSON

{
  "id": "container-90123",
  "name": "AI Model Codebase",
  "description": "Codebase for training and deploying AI models.",
  "creator": "developer456",
  "project_type": "codebase",
  "file_structure": {
    "src": ["train.py", "model.py"],
    "data": ["dataset.csv"],
    "docs": ["README.md"]
  },
  "file_hashes": {
    "src/train.py": "file-hash-1",
    "src/model.py": "file-hash-2",
    "data/dataset.csv": "file-hash-3",
    "docs/README.md": "file-hash-4"
  },
  "version": "1.0.0",
  "root_hash": "merkle-root-of-file-hashes",
  "blockchain_anchor": "0xBlockchainTransactionID",
  "timestamp": "2024-11-22T12:00:00Z"
}

4. Datasets

Datasets represent structured collections of data used for analytics, AI training, or research purposes, with integrity verification and provenance tracking.

Metadata Schema

Field
Type
Description

id

string

Unique identifier for the dataset.

name

string

Name of the dataset.

description

string

Description of the dataset.

creator

string

Creator of the dataset.

columns

array

Column definitions (name and type).

size

int

Size of the dataset in bytes.

format

string

Data format (e.g., CSV, Parquet).

hash

string

SHA-256 hash of the dataset file.

blockchain_anchor

string

Blockchain transaction ID anchoring the dataset hash.

version

string

Version of the dataset.

Example JSON

{
  "id": "dataset-78901",
  "name": "ImageNet Training Data",
  "description": "Dataset for training image classification models.",
  "creator": "ai-research-lab",
  "columns": [
    {"name": "image_path", "type": "string"},
    {"name": "label", "type": "string"}
  ],
  "size": 104857600,
  "format": "Parquet",
  "hash": "sha256-hash-of-dataset-file",
  "blockchain_anchor": "0xBlockchainTransactionID",
  "version": "1.0.0"
}

5. AI Models

AI Models represent machine learning models, including their architectures, training parameters, and associated metadata to ensure secure sharing, versioning, and usage.

Key Features

  • Hashing for Tamper Detection: Separate hashes for model architecture and parameters.

  • Metadata Integrity: Hashes are stored in metadata and anchored on the blockchain.

  • Provenance Tracking: Links to training data and model versions.

Metadata Schema

Field
Type
Description

id

string

Unique identifier for the AI model.

name

string

Name of the AI model.

description

string

Description of the model's purpose.

creator

string

Creator of the AI model.

training_data

string

Reference to the dataset used for training.

framework

string

ML framework used (e.g., TensorFlow, PyTorch).

architecture_hash

string

SHA-256 hash of the model architecture.

parameters_hash

string

SHA-256 hash of the model's weights/parameters.

version

string

Version of the AI model.

blockchain_anchor

string

Blockchain transaction ID anchoring the model hashes.

timestamp

string

Timestamp of the last update.

Example JSON

{
  "id": "model-34567",
  "name": "Image Classification Model",
  "description": "Model for classifying images into categories.",
  "creator": "ml-engineer789",
  "training_data": "dataset-78901",
  "framework": "TensorFlow",
  "architecture_hash": "sha256-hash-of-architecture",
  "parameters_hash": "sha256-hash-of-parameters",
  "version": "1.0.0",
  "blockchain_anchor": "0xBlockchainTransactionID",
  "timestamp": "2024-11-22T14:00:00Z"
}

6. Digital Twins

Digital Twins represent digital replicas of physical assets, processes, or systems, providing real-time data and analytics. They are enhanced with metadata integrity and blockchain anchoring for tamper-proofing.

Key Features

  • Real-Time Data Feeds: Integration with sensors and data sources.

  • Provenance and Versioning: Track changes over time.

  • Tamper Detection: Hashes of the twin's state are anchored to the blockchain.

Metadata Schema

Field
Type
Description

id

string

Unique identifier for the digital twin.

name

string

Name of the digital twin.

linked_assets

array

References to physical or digital assets.

status

string

Current status or state of the digital twin.

data_feeds

array

Real-time data sources feeding the twin.

version

string

Version of the digital twin.

hash

string

SHA-256 hash to maintain the integrity of the twin.

blockchain_anchor

string

Blockchain transaction ID anchoring the twin's hash.

timestamp

string

Timestamp of the last update.

provenance

array

History of updates and modifications.

Example JSON

{
  "id": "twin-67890",
  "name": "Wind Turbine Twin",
  "linked_assets": ["asset-23456"],
  "status": "Operational",
  "data_feeds": ["sensor-feed-123", "weather-data-feed"],
  "version": "2.1.0",
  "hash": "sha256-hash-of-twin-state",
  "blockchain_anchor": "0xBlockchainTransactionID",
  "timestamp": "2024-11-22T15:00:00Z",
  "provenance": [
    {"version": "2.0.0", "timestamp": "2024-11-20T10:00:00Z", "changes": "Initial creation."},
    {"version": "2.1.0", "timestamp": "2024-11-22T15:00:00Z", "changes": "Added new data feed."}
  ]
}

Asset Lifecycle

All assets within the Tenzro ecosystem follow a lifecycle ensuring integrity and provenance:

  1. Creation

    • Metadata is generated and stored securely.

    • Hashes are computed for critical components (e.g., files, model parameters).

    • Merkle trees are generated where applicable.

    • Hashes and Merkle roots are anchored on the blockchain.

  2. Modification

    • Any updates result in new hashes and updated metadata.

    • Versioning is incremented.

    • New hashes are anchored on the blockchain.

  3. Transfer

    • Ownership changes are recorded in the asset's provenance.

    • Smart contracts may govern the conditions of the transfer.

    • Intra-Network Transfers: Utilize unique device IDs or user IDs, with hardware security for signing.

    • External Transfers: Use the user's blockchain wallet address as the identifier and keys for signing.

  4. Verification

    • Assets can be verified by recomputing hashes and comparing them to the blockchain-anchored values.

    • Tamper detection is facilitated by the Merkle tree structures.

Future Expansion

1. Workflows

Define standards for automated workflows, chaining together data processing or AI model training tasks. These workflows can involve multiple digital assets to create end-to-end pipelines.

Key Features

  • Event-Driven Triggers: Workflows can be triggered by specific events (e.g., new data arrival) or scheduled intervals.

  • Metadata Schema

    Field
    Type
    Description

    id

    string

    Unique identifier for the workflow.

    name

    string

    Name of the workflow.

    description

    string

    Description of the workflow's purpose.

    tasks

    array

    Ordered list of tasks in the workflow.

    dependencies

    object

    Task dependencies and execution order.

    resources

    array

    Required resources (datasets, models, etc.).

    version

    string

    Version of the workflow.

    hash

    string

    SHA-256 hash of the workflow metadata.

    blockchain_anchor

    string

    Blockchain transaction ID anchoring the workflow hash.

    access_policies

    object

    Access control policies for the workflow.

Example JSON

{
  "id": "workflow-11223",
  "name": "AI Training Pipeline",
  "description": "Automated training and deployment of AI models.",
  "tasks": [
    {"id": "task-1", "name": "Data Preprocessing", "type": "data_processing"},
    {"id": "task-2", "name": "Model Training", "type": "model_training"},
    {"id": "task-3", "name": "Model Deployment", "type": "deployment"}
  ],
  "dependencies": {
    "task-2": ["task-1"],
    "task-3": ["task-2"]
  },
  "resources": ["dataset-78901", "container-90123"],
  "version": "1.0.0",
  "hash": "sha256-hash-of-workflow-metadata",
  "blockchain_anchor": "0xBlockchainTransactionID",
  "access_policies": {
    "read": ["user123", "team456"],
    "execute": ["team456"]
  }
}

2. Smart Contracts

Use smart contracts for automated agreements related to asset usage, ownership, and licensing. Tenzro smart contracts can be customized for various processes:

Key Use Cases

  • Data Licensing: Automate data usage permissions, ensuring compliance with licensing terms.

  • Royalty Management: Automatically distribute royalties for the use of digital assets.

  • Federated Learning Agreements: Manage collaboration in federated learning tasks, ensuring fair participation and reward distribution.

  • Conditional Ownership Transfers: Set conditions for ownership changes based on events or triggers.

  • Access Control: Define and enforce access policies for assets.

Smart Contract Metadata Schema

Field
Type
Description

contract_id

string

Unique identifier for the smart contract.

parties

array

Parties involved in the contract.

terms

object

Detailed terms and conditions.

asset_ids

array

IDs of assets governed by the contract.

execution_triggers

array

Conditions or events that trigger contract execution.

version

string

Version of the smart contract.

hash

string

SHA-256 hash of the contract code and metadata.

blockchain_address

string

Address of the deployed smart contract.

3. Access Policies

Define access policies to manage permissions for digital assets, ensuring that only authorized entities can interact with specific data or models.

Key Features

  • Hardware-Backed Authentication: Secure access with Tenzro's authentication mechanisms.

  • Hierarchical Access Control: Different levels of access for admins, collaborators, and viewers.

  • Time-Based Restrictions: Policies can have validity periods or be event-based.

Access Policy Schema

Field
Type
Description

policy_id

string

Unique identifier for the access policy.

asset_id

string

ID of the asset the policy applies to.

permissions

object

Permissions granted (read, write, execute).

authorized_entities

array

Users or groups with access rights.

conditions

object

Conditions under which access is granted.

hash

string

SHA-256 hash of the policy details.

blockchain_anchor

string

Blockchain transaction ID anchoring the policy hash.

4. Simulations

Expand the standards to include simulations or predictive models for various applications. Digital twins and AI models can include simulation capabilities.

Key Features

  • Simulation Parameters: Metadata includes simulation parameters, input data, and expected outcomes.

  • Adaptive Models: Simulations linked with real-time data feeds for adaptive predictions.

  • Repeatability and Reliability: Ensures simulations can be reliably reproduced.

Simulation Metadata Schema

Field
Type
Description

id

string

Unique identifier for the simulation.

name

string

Name of the simulation.

description

string

Description of the simulation purpose.

model_id

string

Reference to the AI model used.

input_data

string

Reference to input datasets or data feeds.

parameters

object

Simulation parameters and configurations.

expected_outcomes

object

Expected results or metrics.

version

string

Version of the simulation.

hash

string

SHA-256 hash of the simulation metadata.

blockchain_anchor

string

Blockchain transaction ID anchoring the simulation hash.

timestamp

string

Timestamp of the simulation creation or update.

Example JSON

{
  "id": "simulation-33445",
  "name": "Wind Turbine Wear Simulation",
  "description": "Predicts wear and tear over time under different conditions.",
  "model_id": "model-34567",
  "input_data": "twin-67890",
  "parameters": {
    "wind_speed_range": [5, 25],
    "temperature_range": [-10, 40],
    "simulation_duration": "1 year"
  },
  "expected_outcomes": {
    "component_lifetime": "Estimation of component lifespan",
    "maintenance_schedule": "Optimal maintenance intervals"
  },
  "version": "1.0.0",
  "hash": "sha256-hash-of-simulation-metadata",
  "blockchain_anchor": "0xBlockchainTransactionID",
  "timestamp": "2024-11-22T16:00:00Z"
}

Network Functionalities

Local Model Serving, Training, and Inference

Tenzro Network supports the entire lifecycle of AI models, from serving and inference to training and optimization.

  • Local Model Serving: Deploy AI models on local nodes to provide real-time inference capabilities.

  • Decentralized Training: Utilize the collective processing power of Training Nodes to train AI models more efficiently.

  • Model Optimization: Aggregate training results from multiple nodes to enhance model accuracy and performance.

  • Inference at the Edge: Perform data analysis and decision-making directly on edge devices, reducing latency and bandwidth usage.

Dataset Management

Efficient management of datasets is crucial for AI workflows. Tenzro provides robust tools for handling data.

  • Creating Datasets: Aggregate and curate datasets from various sources within the network.

  • Managing Datasets Locally: Store and manage datasets securely on local Datachains.

  • Aggregating Datasets: Combine smaller datasets into larger, more comprehensive datasets for enhanced AI training.

  • Provenance Tracking: Ensure the integrity and traceability of datasets through continuous hashing and blockchain anchoring.

Decentralized Compute and Storage

Tenzro leverages decentralized resources to provide scalable compute and storage solutions.

  • Distributed Compute: Utilize the processing power of multiple nodes to handle large-scale computations.

  • Decentralized Storage: Store data across the network, ensuring redundancy and availability.

  • Resource Allocation: Efficiently allocate compute and storage resources based on node capabilities and current demand.

Earning Tenzro Tokens

Participants can earn Tenzro tokens by contributing resources to the network.

  • Providing Compute Power: Share your device's processing capabilities for AI training and data processing tasks.

  • Offering Storage: Contribute storage space to support decentralized data management.

  • Sharing Data and Models: Provide access to datasets and AI models, enhancing the network's intelligence.

  • Validating Transactions: Act as a validator to secure the network, earning rewards for your participation.

Earning Mechanism:

  • Token Rewards: Participants receive Tenzro tokens proportional to their contribution.

  • Staking Opportunities: Stake tokens to earn additional rewards and participate in network governance.

  • Incentive Programs: Engage in special programs and challenges to earn bonus tokens.

Benefits:

  • Cost-Effective Resources: Access cheaper resources for AI, compute, storage, and more compared to traditional cloud service providers.

  • Seamless Integration: Utilize Tenzro's decentralized resources to enhance your applications without the overhead of managing centralized infrastructure.

Deployment and Setup

System Requirements

To participate in the Tenzro Ecosystem, ensure your device meets the following minimum requirements:

  • Operating System: macOS, Windows, Linux, iOS, Android.

  • CPU: Quad-core processor or higher.

  • RAM: 8 GB or more.

  • Storage: 100 GB SSD for data storage and ledger synchronization.

  • Internet: Stable broadband connection with at least 10 Mbps download/upload speed.

  • Security: TPM 2.0, TEE, or Secure Enclave for hardware-based validation.

Installation Guide

Tenzro Node Service:

The Tenzro Node Service is a hardware-aware system service that enables your device to automatically join the Tenzro Network.

  1. Visit the Official Website: Go to www.tenzro.org.

  2. Download the Application: Choose the appropriate version for your operating system (macOS, Windows, Linux, iOS, Android).

  3. Run the Installer: Follow the on-screen instructions to install the Tenzro Node Service.

  4. Initial Setup: Launch the application. The service will automatically detect your device's hardware capabilities.

  5. Automatic Configuration:

    • Node Type Assignment: Based on hardware capabilities, the service assigns your device as an Inference, Aggregator, Training, or Feedback Node.

    • Validator Eligibility: If your device is equipped with TPM, TEE, or Secure Enclave from a trusted manufacturer, it can become a validator.

  6. Create Local Datachains: The service enables the creation of local Datachains for secure data management.

  7. Territory Allocation: Your node is allocated to a Territory, providing capabilities to use datachains and assets for transactions, transfers, and validations.

For Organizations:

  1. Assess Hardware Capabilities: Ensure that your devices meet the necessary specifications for optimal performance.

  2. Deploy Tenzro Services: Use centralized deployment tools to install Tenzro Node Service across multiple devices.

  3. Configure Network Settings: Customize settings to align with your organizational needs and optimize resource distribution.

  4. Monitor Deployment: Use Tenzro's dashboard to monitor the status and performance of deployed nodes.

User Onboarding Experience

The Tenzro Node Service is designed to provide a seamless and user-friendly onboarding experience, eliminating the need for technical expertise.

  • Installable App with GUI: The Node Service is available as an installable application featuring an intuitive graphical user interface (GUI), ensuring that users can set up their nodes without any technical knowledge.

  • Simplified Blockchain Wallets: Blockchain wallets integrated into the Node Service offer sign-in options using familiar services like Google and Apple. The wallet creation process, including key generation, occurs in the background, allowing users to interact with the Tenzro ecosystem effortlessly.

  • Smooth Onboarding: The application guides users through the setup process with clear instructions and automated configurations, reducing friction and enhancing user adoption.

Configuration

After installation, configure your device to optimize performance and participation within the Tenzro Ecosystem.

  • Node Role Assignment: The Tenzro Node Service automatically assigns the appropriate node type based on hardware capabilities.

  • Resource Allocation: Allocate compute and storage resources to different tasks as needed.

  • Security Settings: Ensure that hardware-based security features (TPMs, TEEs) are correctly configured and active.

  • Network Preferences: Set preferences for data sharing, transaction processing, and AI model interactions.

Running a Node

Once configured, your device is ready to operate as a node within the Tenzro Network.

  1. Start the Node Service: Launch the Tenzro Node Service application.

  2. Connect to the Network: The service will automatically connect your device to the P2P network.

  3. Monitor Performance: Use the dashboard to monitor your node's performance, resource usage, and contributions.

  4. Participate in Tasks: Engage in data processing, AI training, or transaction validation based on your node type.

  5. Earn Rewards: Accumulate Tenzro tokens as you contribute resources to the network.

Developer Resources

API Reference

Tenzro provides a comprehensive API suite to facilitate interaction with the network and ledger.

  • Authentication: Securely authenticate API requests using API keys or OAuth tokens.

  • Endpoints:

    • Data Management: Create, read, update, delete datasets and digital assets.

    • Transaction Handling: Submit and query transactions.

    • Model Management: Deploy and manage AI models.

    • Asset Interaction: Mint, transfer, and manage digital assets and tokens.

  • Rate Limits: Adhere to defined rate limits to ensure fair usage and prevent abuse.

Example API Call:

GET https://api.tenzro.org/v1/assets/digital-asset-56789
Authorization: Bearer YOUR_API_KEY

Response:

{
  "id": "digital-asset-56789",
  "name": "Tenzro Genesis Artwork",
  "description": "An exclusive piece of art with detailed provenance.",
  "creator": "artist123",
  "attributes": [...],
  ...
}

SDKs and Tools

Tenzro offers SDKs and tools to simplify the development process.

  • JavaScript/TypeScript SDK: For building web-based decentralized applications.

  • Python SDK: For data science and AI model integrations.

  • CLI Tools: Command-line interfaces for managing nodes, assets, and transactions.

  • Docker Images: Containerized versions of Tenzro Node Service for easy deployment.

  • Developer-Friendly Tooling: Comprehensive tools and resources to build AI-powered dApps without the complexities of Web3.

Tutorials and Guides

Getting Started Tutorials:

  • Building Your First dApp: Step-by-step guide to creating a decentralized application using Tenzro APIs.

  • Deploying AI Models: Instructions on deploying and managing AI models within the Tenzro Network.

  • Asset Creation and Management: How to create, mint, and manage digital assets and tokens.

Advanced Guides:

  • Smart Contract Development: Writing and deploying smart contracts on the Tenzro Ledger.

  • Interoperability Integration: Connecting Tenzro Ledger with external blockchains.

  • Security Best Practices: Implementing robust security measures within your applications.

Use Cases

  1. Decentralized AI Training

    • Harness the collective processing power of the Tenzro Network to train sophisticated AI models more efficiently and securely than traditional centralized methods.

  2. Secure Data Sharing

    • Facilitate the safe and private exchange of sensitive data across organizations and individuals without relying on centralized intermediaries.

  3. IoT and Edge Computing

    • Enable Internet of Things (IoT) devices to perform advanced computations and data processing at the edge, reducing latency and improving responsiveness.

  4. Digital Asset Management

    • Create, manage, and transfer digital assets such as tokens and digital assets seamlessly across different blockchains, benefiting from Tenzro Ledger's interoperability features.

  5. Collaborative Research

    • Support secure and efficient collaboration among researchers and institutions by providing a decentralized platform for data sharing and analysis.

  6. Decentralized Compute and Storage

    • Provide scalable compute and storage solutions by leveraging the distributed resources of the network, ensuring high availability and redundancy.

  7. Tokenized Incentives

    • Encourage participation and resource sharing through Tenzro tokens, rewarding users for contributing compute power, storage, data, and models to the network.

Troubleshooting

1. Why can't my device connect to the Tenzro Network?

  • Check Internet Connection: Ensure that your device has a stable internet connection.

  • Update Software: Make sure you have the latest version of the Tenzro Node Service installed.

  • Hardware Requirements: Verify that your device meets the minimum hardware specifications required for participation.

  • Firewall Settings: Ensure that your firewall or antivirus software is not blocking the Tenzro Node Service application.

2. Why are my transactions not processing?

  • Network Status: Check if the Tenzro Network is currently experiencing any outages or maintenance.

  • Device Status: Ensure that your device is properly connected to the network and categorized correctly.

  • Ledger Synchronization: Verify that your Tenzro Ledger is fully synchronized with the global Ledger.

3. How do I update my Tenzro Node Service?

  1. Visit the Official Website: Go to www.tenzro.org.

  2. Download the Latest Version: Download the newest version of the Tenzro Node Service application.

  3. Install the Update: Follow the installation prompts to update your existing software.

4. I'm experiencing slow performance. What should I do?

  • Check Device Resources: Ensure that your device has sufficient CPU, memory, and storage available.

  • Network Load: High network traffic can affect performance. Try connecting during off-peak hours.

  • Restart Application: Sometimes, restarting the Tenzro Node Service application can resolve performance issues.

5. How do I reset my Tenzro Ledger?

Caution: Resetting your Tenzro Ledger will remove all local transaction data. Ensure you have backed up any important information before proceeding.

  1. Open Tenzro Ledger Application: Launch the application on your device.

  2. Navigate to Settings: Go to the settings menu.

  3. Select Reset Ledger: Choose the option to reset the Ledger.

  4. Confirm Action: Follow the on-screen instructions to confirm the reset.

Contribution Guidelines

Tenzro is an open and collaborative ecosystem. We welcome contributions from developers, researchers, and community members. To contribute, follow these guidelines:

  1. Fork the Repository: Create a personal fork of the Tenzro GitHub repository.

  2. Create a Feature Branch: Develop your feature or fix on a separate branch.

  3. Commit Changes: Write clear and descriptive commit messages.

  4. Push to Fork: Push your changes to your forked repository.

  5. Submit a Pull Request: Create a pull request detailing your changes and their benefits.

  6. Code Review: Participate in the review process by addressing feedback and making necessary revisions.

  7. Merge: Once approved, your changes will be merged into the main repository.

Additional Resources:

  • Coding Standards: Adhere to Tenzro’s coding conventions for consistency.

  • Documentation: Ensure that all new features are well-documented.

  • Testing: Write tests to cover your changes and ensure stability.

For more details, visit our Contributing Guidelines.

Glossary

  • Blockchain Anchoring: The process of storing a hash or Merkle root on a blockchain to provide an immutable and verifiable record.

  • Merkle Tree: A tree data structure where each leaf node is a hash of data, and each non-leaf node is a hash of its child nodes, culminating in a root hash that represents the entire data set.

  • Provenance: The history of ownership, custody, or location of an asset.

  • Smart Contracts: Self-executing contracts with the terms of the agreement directly written into code.

  • Tamper Detection: Mechanisms that detect unauthorized modifications to assets.

  • Data Chain: A sequence of data states where each state depends on the previous, often using cryptographic hashes to link them.

  • TPM (Trusted Platform Module): A specialized hardware component designed to provide secure cryptographic functions.

  • TEE (Trusted Execution Environment): A secure area of a processor that ensures code and data loaded inside are protected with respect to confidentiality and integrity.

  • Secure Enclave: A hardware-based key manager isolated from the main processor to enhance security.

  • Utility Token: A token used within a specific ecosystem to access services, pay for transactions, or participate in governance.

  • DAO (Decentralized Autonomous Organization): An organization governed by smart contracts and decentralized voting mechanisms, allowing stakeholders to participate in decision-making processes.

Contact and Support

We’re here to help! If you have any questions, feedback, or need assistance, feel free to reach out:

Alternatively, you can fill out our Contact Form.

Last updated: November 26, 2024

Last updated