2.1 AI-Focused Incubator & Launchpad How the Incubator Works

2.1 How the Incubator Works

Overview

The MonadAI Incubator is designed to identify, support, and accelerate promising AI-driven projects in their early stages. By providing technical mentorship, strategic guidance, and access to funding, the incubator helps AI startups refine their vision, develop their technology, and successfully integrate into the Web3 and AI ecosystem.

This structured incubation process ensures that AI projects have the strongest foundation possible before they graduate to the launchpad for broader fundraising.

Application & Selection Process

Projects looking to join the MonadAI Incubator must go through a rigorous selection process to ensure they meet high technical and strategic standards.

1. Submission of Proposal

AI project teams submit a detailed application, outlining:

• Project vision and technical scope

• Proposed AI model or agent functionality

• Tokenization strategy (if applicable)

• Business and monetization plan

• Team experience and background

2. Due Diligence & Evaluation

The MonadAI team conducts a thorough assessment, reviewing:

• Technical feasibility – Is the AI model well-designed and scalable?

• Product-market fit – Is there real demand for the AI solution?

• Token utility and sustainability – Does the token model align with the ecosystem?

• Team credibility – Does the team have the experience to execute successfully?

3. Selection & Onboarding

Projects that pass the due diligence phase enter the incubator program, where they receive:

✅ Guidance from AI and blockchain experts

✅ Access to a network of investors and partners

✅ Technical support for on-chain AI deployment

✅ Tokenomics and business model optimization

Development & Growth Phase

Once onboarded, projects undergo structured development to refine their AI models, ensure smooth blockchain integration, and prepare for launch.

Key Areas of Development

• AI Model Training & Optimization – Ensuring the AI operates efficiently within its target application.

• Tokenized AI Deployment – Structuring agent monetization via bonding curves or DEX-based liquidity models.

• Smart Contract Integration – Implementing secure and scalable on-chain AI functionalities.

• Community & Governance Preparation – Setting up DAO mechanisms for long-term decentralized AI evolution.

This phase ensures that each project is fully prepared for fundraising and real-world adoption.

Graduation to the Launchpad

Once an incubated project reaches key milestones, it graduates to the MonadAI Launchpad, where it can:

• Raise funding from the community and investors

• Officially launch its AI product or service

• Expand its tokenized AI model to a broader audience

Graduated projects gain exposure and credibility, increasing their chances of long-term success.

Key Takeaways

• The MonadAI Incubator is designed to identify, support, and accelerate high-potential AI projects.

• Projects undergo rigorous due diligence before being accepted.

• Incubation provides mentorship, technical support, and access to strategic partners.

• Successful projects graduate to the launchpad for broader fundraising and adoption.