Roadmap

2025: Establishing the AI Data Foundation

In 2025, LazAI will focus on developing the foundational components of its ecosystem: launching an AI agent for data alignment, deploying a high-performance blockchain for AI execution, and implementing data-driven PoS + Quorum-Based BFT consensus. This year will be testnet-focused, allowing developers to experiment with AI data anchoring and verification mechanisms.

Phase 1: AI Agent Alith (Q1-Q2 2025) – AI-Powered Data Coordination

LazAI will launch Alith, a simple, composable, high-performance, and Web3-friendly AI agent framework designed to facilitate decentralized AI data processing, governance, and alignment. Unlike traditional AI agents that run in silos, Alith will interact with LazAI on-chain and off-chain AI data sources, ensuring data provenance and verification.

Successfully Delivered: Establish AI-native data workflows, allowing developers to access verified, decentralized AI datasets for training and inference, and build high-performance AI Agent applications.

Phase 2: Testnet – AI Data Settlement & Blockchain Infrastructure (Q2-Q3 2025)

LazAI will launch its testnet, providing a blockchain environment optimized for AI data integrity, validation, and settlement. This testnet will serve as a sandbox for developers experimenting with AI data tokenization, provenance tracking, and alignment verification.

Expected Outcome: Developers gain access to a secure, scalable blockchain infrastructure where AI data can be registered, exchanged, and verified with on-chain provenance guarantees.

Phase 3: Mainnet – AI Data-Driven PoS + Quorum-Based BFT Consensus (Q3-Q4 2025)

LazAI will officially launch its mainnet, introducing a hybrid consensus protocol tailored for AI data verification and governance.

Expected Outcome: A robust, AI-data-driven blockchain with verifiable training datasets, model alignment guarantees, and tamper-proof AI execution workflows.

2026: Scaling AI Data Integrity & Web3 Interoperability

With a strong blockchain foundation in place, LazAI will shift its focus toward ensuring AI data security, cross-chain AI dataset interoperability, and decentralized AI workflow automation.

Phase 4: Mainnet Upgrade – The Fastest AI Data-Optimized Blockchain (Q1–Q2 2026)

LazAI will implement its first major mainnet upgrade, reinforcing its position as the fastest blockchain for AI data transactions and provenance tracking.

Expected Outcome: LazAI will emerge as the leading blockchain for AI data integrity, verification, and decentralized training workflows.

Phase 5: Strengthening Arbitration & AI Data Security (Q2–Q3 2026)

To reinforce trust in AI data sources and computation, LazAI will implement enhanced dispute resolution and decentralized AI security guarantees.

Expected Outcome: LazAI will set a new standard for AI data validation, ensuring models remain ethical, accountable, and bias-resistant.

Phase 6: AI Data Interoperability & Web3 Infrastructure Integration (Q3–Q4 2026)

LazAI will expand beyond its native blockchain, integrating with decentralized AI data platforms, oracles, and federated learning networks.

Expected Outcome: LazAI will become the global hub for AI data exchange, enabling seamless AI asset movement across blockchain ecosystems.

Long-Term Vision: The AI Data Infrastructure for Web3

LazAI is building the first AI-native blockchain ecosystem centered around AI data integrity, accessibility, and provenance tracking. Our roadmap ensures fair, scalable, and verifiable AI model governance.

🔹 2025: Building AI Data Infrastructure – Launching AI agents, enabling AI dataset tokenization, and establishing decentralized AI arbitration mechanisms.

🔹 2026: Scaling AI Data Governance – Enhancing AI dataset privacy, security, and interoperability.

🔹 Beyond 2026: Expanding AI data monetization, federated learning, and autonomous AI data governance.

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