LaunchPad

LaunchPad — The AI Digital Asset Launchpad

LaunchPad — The AI Digital Asset Launchpad

This platform is incubating high-quality intelligent agents, synthesizing them into tokenized assets like RWA, and connecting them to the on-chain circulation system. It is providing funding and launch support for qualified AI agent projects.

YOMIRGO LaunchPad is a one-stop launch place designed specifically for AI Agent projects with real-world business applications. The platform conducts rigorous reviews of listed projects and supports both token issuance and trading. Once a project’s token meets the preset conditions (e.g., reaching a certain market capitalization), the system automatically lists it on major decentralized exchanges (DEXs) through smart contracts.

Launch Mechanism Workflow:

1. AI Agent Project reviewed by YOMIRGO AI Ratings

2. Listed on LaunchPad for initial offering

3. Token reaches market cap threshold

4. Smart contract automatically lists on major DEXs

To verify the authenticity and practical value of AI Agent functionalities, users will have the opportunity to access trial versions during the launch period.

This mechanism not only enables users to capture early opportunities in high-quality AI projects but also helps projects gain efficient traction and achieve market adoption, while ensuring transparency, controllability, and efficiency throughout the entire issuance process.

Curated AI Agent Assets, Building a Trusted Entry Point for IAO

YOMIRGO AI Ratings

1. Technology Capability (Tech)

Assesses the project’s technical architecture, model capabilities, and level of innovation. Special focus is given to its feasibility for real-world deployment, scalability, and progress against development milestones.

2. Team & Governance (Team)

Reviews the background of team members, their execution capability, contractual performance, and the transparency and soundness of the project’s governance structure.

3. Business & Financial Model (Business)

Evaluates the project’s revenue model, monetization ability, unit economics, and long-term sustainability.

4. Tokenomics Design (Token)

Examines the token issuance structure, incentive mechanisms, deflationary models, and the degree to which the token’s value is tied to the ecosystem’s performance.

5. Community Engagement (Community)

Analyzes community size, activity level, user feedback, and market reception to measure user trust and the project’s vitality.

6. Risk & Compliance (Risk)

Identifies potential risks related to system stability, content safety, smart contract vulnerabilities, and regulatory compliance.