What is Conwai?

One Chain Covering the Full Artificial Intelligence Lifecycle. From Data Collection, Labeling and Preprocessing to Model Training, Evaluation, Fine-Tuning, Inference and RAG.

• Uncensored • Decentralized • Incentivized

Conwai Core Concepts

AI Model Access Through OraclesEnable blockchain applications to utilize external AI computations securely via oracles, enhancing smart contracts with AI-driven insights.
Basic Machine Learning OnchainFacilitate direct execution of basic machine learning processes on the blockchain, ensuring transparent and secure AI computations.
Offchain AI Access Through APIsConnect to APIs for complex AI model access hosted offchain, combining blockchain security with powerful AI capabilities.
Marketplaces for Tokens of Different ModelsAccess decentralized marketplaces for trading AI model-related tokens, facilitating the buying, selling, or trading of AI services.
Blockchain Empowered Model Fingerprint VerificationEmploy blockchain technology for the verification of AI model fingerprints, ensuring authenticity and preventing unauthorized use.
Decentralized ComputeDistribute AI tasks across multiple blockchain nodes, enhancing privacy and reducing centralized failure risks.
Upgradeable Contracts Based on Machine Learning OutputSupporting contracts that can be updated based on insights derived from machine learning outputs, enabling dynamic responses to changing conditions or new data.
Smart Contract Auditing via AIUtilize AI algorithms to automatically audit smart contracts on the blockchain, ensuring code security and compliance, thereby reducing vulnerabilities and enhancing trust.
AI-Driven Governance ProtocolsIncorporating machine learning to optimize governance decisions within the blockchain network, allowing for smarter, data-driven consensus mechanisms and policy adjustments.
Real-time AI Analytics for Blockchain DataProviding real-time analytics powered by AI to analyze blockchain transactions and trends, offering valuable insights for traders and decision-makers directly on the platform.
AI-Optimized Transaction RoutingUtilize machine learning to optimize the routing of transactions across the blockchain network, improving speed and efficiency by dynamically selecting the best pathways based on current network conditions.
Decentralized Data Lakes for AI TrainingSupporting the creation of decentralized data lakes where anonymized data can be pooled securely for training AI models, enhancing the diversity and quality of datasets available without compromising data privacy.
Gamified Crowdsourced Data LabelingGenerate custom datasets labeled by a wide range of users through gamefied applications.
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