FAQs
Frequently Asked Questions
Last updated
Frequently Asked Questions
Last updated
LazAI is a next-generation blockchain network and protocol designed to solve the AI data alignment problem by introducing new asset standards for AI data, model behavior, and agent interaction.
In doing so, LazAI, unlike traditional AI infrastructures that rely on centralized control over data and computation, prioritizes decentralized AI workflows, verifiable AI model provenance, and cross-chain AI data interoperability.
LazAI's mission is to create a transparent, scalable, and incentive-driven ecosystem where data providers, model developers, and infrastructure contributors are fairly rewarded for their participation. Envisioning to build an open, fair and reliable AI ecosystem where aligned data empowers humanity and drives ethical innovation
In LazAI, workflows can be categorized into the data setup process, data usage process, and infererence process based on different roles. These roles correspond to users who contribute data to earn tokens and those who exchange tokens for data or models.
Most AI projects focus on compute marketplaces or AI inference layers. LazAI focuses on the data layer, solving the biggest problem in AI: data integrity, provenance, and alignment. LazAI ensures that data feeding AI models is verifiable, ethical, and data contributors are fairly incentivized.
The Data Anchoring Token (DAT) is a semi-fungible token (SFT) standard specifically designed for AI dataset ownership, licensing, model anchoring, and provenance tracking.
Unlike traditional token standards, DAT introduces a multi-layered ownership model, supporting programmable AI data governance, composable datasets, and decentralized AI model execution.
The core distinction between DAT and previous SFT models is its native AI asset integration, allowing structured access control, automated licensing, and composable AI dataset evolution.
Learn more about DAT:
iDAO, short for Individual-centric DAO, is the native social structure of the AI economy. A decentralized space where humans and AI agents co-create, co-govern, and co-monetize aligned intelligence.
Alith is LazAI’s privacy-first AI Agent framework. It allows developers and users to create and deploy custom AI MicroAgents while ensuring data privacy and security.
Alith also acts as the unified access layer for contributing data and interacting with LazAI’s decentralized AI infrastructure. Users can effortlessly contribute data by interacting with dApps developed by builders.
Contributors, whether they provide data, validate AI models, or offer compute power are rewarded through:
LazAI will adopt a three-token model:
Earn DAT Rewards: This token represents the assetization of value data, driven by user data and consensus validation of computational outputs.
LazAI Utility Tokens: It is responsible for gas consumption, governance, and other functions that fulfill the requirements of a blockchain ecosystem.
AI Compute Gas Token: This token is tied to the computation resources consumed by AI applications. It facilitates the user interaction with AI, generating inference results through the processing of requests and operations.
This ensures a fair economic model where everyone can participate and benefit from AI development.
LazAI ensure AI is aligned with human values through community-driven governance (iDAO), Point of View (POV) mechanism, and verified data sources. LazAI ensures that AI systems are trained on data that is fair, accurate, and aligned with human ethics, not corporate or biased interests.
Alith acts as the unified access layer, a gateway for all users and builders to contribute data and interacting with LazAI’s decentralized AI infrastructure. Users can effortlessly contribute data by interacting with dApps developed by builders.
Yes. Through iDAOs, you own and manage your personal data flows, deciding who can access your data and under what terms. This is data sovereignty by LazAI powered by iDAOs.
The roadmap includes:
Testnet (2025 Q2-Q3): Focused on AI data anchoring and verification
Mainnet (2025 Q4): Featuring PoS + Quorum-Based BFT consensus and AI-native infrastructure
Beyond 2025: Scaling decentralized AI verification, data interoperability, and AI agent frameworks.
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