LazAI has officially launched its testnet, providing developers with an environment to build, test, and deploy decentralized AI agents. The platform introduces a framework for developing AI systems that incorporate tokenization and privacy-preserving technologies within a Web3 ecosystem.

Key Features of the LazAI Platform

• Alith Framework: A development toolkit designed to facilitate AI inference across multiple model architectures. The framework offers native blockchain integration, allowing for direct data submission and model deployment within a decentralized infrastructure.
• Data Anchoring Token (DAT): A token-based mechanism supporting AI asset management through cryptographic verification and proof-of-contribution validation. The DAT enables transparent revenue-sharing processes via on-chain data anchoring and evaluation workflows on the testnet.
• Scalable Architecture: The platform includes components such as the DAT Marketplace for AI-native assets, LazPad for AI agent deployment, and DeFAI protocols for building AI-driven applications. The infrastructure supports modular computing with verified execution, decentralized data feeds, model hosting, and oracle integration.