Blockchain Integration

Secure, Transparent, Decentralized AI

Blockchain provides a tamper-proof foundation for AI operations—from immutable audit trails and smart contract SLAs to decentralized training and a secure AI marketplace.

Request DemoTechnical Documentation
80%
Breach Risk Reduction
Via immutable logging and encryption
50%
Admin Overhead Cut
Smart contracts automate SLAs
15%
Accuracy Improvement
Through decentralized training
100%
Audit Compliance
Tamper-proof transaction logs

Blockchain as the Trust Layer

Traditional AI systems rely on centralized trust—you have to trust that the provider hasn't tampered with your models or data. This creates security risks and compliance challenges.

Our blockchain integration creates a decentralized trust layer where every action is cryptographically verified and immutably recorded. No single entity can alter the historical record.

This enables new capabilities: tamper-proof audit trails for regulatory compliance, smart contracts that automatically enforce SLAs, and decentralized training where edge devices can safely contribute data without exposing sensitive information.

Verification
Transparency
Immutability

Architecture

Application Layer
User interface for workflow design and monitoring
Core AI Services
Model training and inference (TensorFlow, PyTorch)
Edge AI Layer
Optimized submodels (TensorFlow Lite, ONNX)
Robotic Integration
ROS-compatible motion planning and sensor fusion
Blockchain LayerBlockchain
Fetch.ai agents, Hyperledger ledgers, smart contracts

Blockchain Capabilities

A secure, decentralized framework for AI operations.

Immutable Audit Trails

Every deployment, data update, and interaction is recorded with metadata (timestamp, device ID), creating tamper-proof logs that satisfy regulatory requirements.

Decentralized Training

Edge devices contribute anonymized data to refine models. Blockchain tracks contributions via Fetch.ai autonomous agents, optionally rewarding participants with tokens.

Smart Contract SLAs

Automated service level agreements enforce rules like reducing fees if accuracy drops below 99%. No manual intervention required.

AI Agent Marketplace

Securely buy, sell, and license AI models through blockchain-verified transactions. Smart contracts handle payments and access control automatically.

Tamper-Proof Models

AI models are cryptographically verified post-deployment, ensuring they remain unmodified and authentic. Prevents unauthorized tampering.

Multi-Agent Coordination

Fetch.ai's multi-agent system facilitates secure collaborative intelligence across edge nodes without compromising privacy.

Supported Blockchain Platforms

Choose the right blockchain for your use case—or combine them for hybrid deployments.

Fetch.ai

Autonomous agents for decentralized AI operations

Best For
Edge device coordination, federated learning

Hyperledger Fabric

Private, enterprise-grade ledger

Best For
Healthcare data, HIPAA compliance

Ethereum Layer 2

Cost-effective smart contracts

Best For
Marketplace transactions, SLA enforcement

Hybrid Blockchain Support

Combine private chains (Hyperledger Fabric for sensitive data) with public chains (Ethereum Layer 2 for marketplace transactions) for maximum flexibility.

Real-World Applications

See how blockchain integration transforms AI operations.

Healthcare Compliance

Scenario: Patient data from wearables requires HIPAA-compliant storage and audit trails.

Implementation

All data updates logged on Hyperledger Fabric with timestamps and device IDs. Smart contracts enforce data access policies.

Results
  • 100% audit compliance
  • Tamper-proof patient records
  • Automated access control

Manufacturing Traceability

Scenario: Factory sensors need immutable logs for quality control and regulatory audits.

Implementation

Every sensor reading and prediction logged on blockchain. Smart contracts trigger alerts when anomalies detected.

Results
  • Complete traceability
  • Regulatory compliance
  • Real-time quality assurance

Federated Learning Rewards

Scenario: Edge devices contribute training data but need privacy protection and fair compensation.

Implementation

Fetch.ai agents manage anonymized data contributions. Token rewards distributed via smart contracts based on contribution quality.

Results
  • 15% accuracy improvement
  • Privacy-preserving training
  • Fair token distribution

Smart Contract Automation

Smart contracts are self-executing agreements with terms written directly into code. They automatically enforce rules and trigger actions without manual intervention.

In Tesan AI, smart contracts handle:

  • SLA enforcement (e.g., fee adjustments if accuracy drops below threshold)
  • Marketplace transactions for AI models and datasets
  • Access control for sensitive data and models
  • Reward distribution for federated learning contributions
  • Automated compliance reporting and audit triggers
smart_contract.sol
// SLA Enforcement Smart Contract
contract AIServiceSLA {
uint256 minAccuracy = 99;
// Auto-adjust fees based on performance
function checkAccuracy() {
if (accuracy < minAccuracy) {
reduceFee(10);
}
}
}

How We Compare

FeatureCentralized AIFederated LearningTesan Blockchain
SecurityLowMediumHigh (Blockchain)
LatencyHighMediumLow (<10ms)
Deployment CostHighHighLow (Unified)
ScalabilityLimitedModerateHigh (Edge + Cloud)
Audit TrailManualPartialImmutable

Ready for Secure, Transparent AI?

See how blockchain integration can transform your AI operations.

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