LazAI Launches Testnet: Pioneering Web3-Native AI Infrastructure for Decentralized Innovation

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 Testnet

The LazAI testnet offers access to the Alith Framework, featuring cross-language SDKs in Python, Node.js, and Rust. Developers can utilize high-performance inference capabilities, streamlined APIs for data queries, and real-time monitoring tools. The testnet supports contributions of real data, development of AI agents, and the use of on-chain privacy-preserving proofs. Its architecture emphasizes composability, interoperability, horizontal scalability, and customizable workflows to support future upgrades.

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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.

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How to Join the LazAI Testnet: A Five-Step Guide for Developers

Developers and contributors can participate in the LazAI testnet through the following structured process:

Step 1: Develop with Alith

Access Alith’s APIs for data inference and queries, along with integrated debugging tools, real-time monitoring, and optimization insights.

Step 2: Generate Proofs with Verified Computing

Produce cryptographic proofs using trust-minimized evaluation methods. This process includes data integrity verification, end-to-end encryption, and anchoring on LazChain.

Step 3: Validate with Quorum-Based BFT Consensus

Participate in decentralized validation via QBFT, a consensus mechanism featuring multi-party quorums, stake-based security, fraud detection protocols, and Byzantine fault tolerance.

Step 4: Receive Rewards via DAT

Mint and distribute Data Anchoring Tokens (DATs) through automated, value-based reward mechanisms. The system supports transparent settlements and flexible monetization pathways.

Step 5: Integrate via API and Services

Utilize core APIs for data queries, inference, model training, and evaluation. This includes support for automated payments, DAT integration, and scalable infrastructure for global deployment.

Community-Governed Development with Integrated Security

LazAI’s development is guided by a community-driven governance structure known as the iDAO model. This framework enables participants to contribute to decision-making, resource allocation, and oversight. The governance process is supported by security mechanisms such as verified computing, which help maintain network integrity and alignment with user priorities. These safeguards are designed to support the platform’s progression from testnet to key milestones, including the launch of Companion DATs, LazPad deployments, and eventual Mainnet activation.

LazAI Opens Whitelist Campaign Ahead of Companion DAT Launch

LazAI has opened its whitelist campaign for users and data contributors ahead of the upcoming launch of the first Companion Data Anchoring Token (DAT), scheduled for August 20, 2025. Participants who complete the whitelist process will gain early access to mint and engage with AI-native assets on the platform.

Interested participants can access the LazPad whitelist, complete the required steps, and connect with the LazAI community via Telegram for guidance and updates. The campaign provides early access to features within the platform’s evolving decentralized AI infrastructure.