Revolutionize crypto trading with
AI-driven insights
Harness machine learning and blockchain for strategic market analysis and execution
CA:Coming soon
Data Layer
Decentralized storage network based on IPFS, ensuring tamper-proof data traceability
Compute Layer
PoRA (Proof of Resource Allocation) consensus algorithm that dynamically allocates GPU/CPU resources for AI tasks
Model Layer
Federated learning framework with ZKP (Zero-Knowledge Proof) to validate training integrity without exposing raw data
Technical Highlights
Modular smart contract templates for customized AI services (e.g., prediction markets, automated decision systems)
Dynamic Data Sandbox
Combines TEE (Trusted Execution Environment) with homomorphic encryption, enabling secure multi-party computation
Model DNA
Hashes critical training parameters (e.g., hyperparameters, data fingerprints) onto blockchain as immutable certificates
Cross-Chain Oracle
Implements a hybrid oracle system using Chainlink and Polkadot XCM for cross-ecosystem model
Core Functional Modules
Trusted Data Marketplace
Converts datasets into verifiable NFTs with usage rights controlled by non-fungible tokens
Differential Pricing
Algorithm-driven pricing based on data quality, privacy level, and market demand
Proof of Data Contribution (PoDC)
Miners earn tokens by providing validated training data subsets
Energy & Utilities
Renewable energy systems, equipment maintenance, and environmental safety
Logistics & Transportation
Supply chain management, vehicle safety, and regulatory compliance
IT & Software Development
Coding languages, cybersecurity, software development methodologies, and IT compliance
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