Tech Background
// Initialize CUDA Agent
const agent = new CUDAAgent({
    type: "marketing",
    efficiency: 0.985,
    refinementGrade: "A+"
});

// Apply chemical-grade refinement
await agent.refine({
    purificationLevel: "ultra",
    stages: ["extraction", "distillation", "validation"]
});

Clone Universal Distillation Architecture

Own and profit from AI Agents built on chemical-grade refinement

๐Ÿงช Why CUDA? ๐Ÿงช

๐Ÿค

Multi-Agent Collaboration

AI Agents work together seamlessly, from content creation to analytics, sharing services and information efficiently.

  • โ†’ Seamless Integration
  • โ†’ Cross-Agent Synergy
๐Ÿ’Ž

Decentralized Investment

Tokenized Agent ownership allows investors, developers, and users to share in success and governance.

  • โ†’ Revenue Sharing
  • โ†’ Community Governance
๐Ÿ”„

Agent Commerce

Agents engage in direct service trading, revenue sharing, and automated settlements within the ecosystem.

  • โ†’ Automated Trading
  • โ†’ Smart Settlements
// CUDA Agent Society Example
const agentSociety = {
    collaboration: {
        type: "multiAgent",
        features: ["serviceExchange", "dataSharing"]
    },
    investment: {
        model: "tokenized",
        benefits: ["revenueShare", "governance"]
    },
    commerce: {
        mechanism: "automated",
        features: ["p2pTrading", "smartSettlement"]
    }
};

๐Ÿค– Agent Commerce ๐Ÿค–

Marketing Agent
0 Type: Marketing
const metrics = {
    efficiency: 0.92,
    tasks: ["social", "seo"]
};

Marketing Agents

  • โ†’ Social media strategies
  • โ†’ SEO content creation
  • โ†’ Brand engagement
Trading Agent
0 Type: Trading

Trading Agents

  • โ†’ Signal generation
  • โ†’ Risk management
  • โ†’ Strategy optimization
Launch Agent
0 Type: Launch

Launch Agents

  • โ†’ Token launch facilitation
  • โ†’ Community building
  • โ†’ Fundraising outreach

โš—๏ธ Chemical-Style Distillation โš—๏ธ

1

Data Extraction

Identify the "raw materials" (key features) akin to chemical reagents

class DataExtractor {
    async extract(data) {
        // Chemical-grade feature extraction
        return await this.purify(
            this.distill(data)
        );
    }
}
Data Extraction
2

Iterative Refinement

Remove training "impurities" at each step, ensuring Agents remain lean and accurate

Refinement Process
3

Quality Validation

Check final performance via lab-like benchmarks: purity, yield, and synergy

Quality Validation

๐Ÿ’Ž Token Model ๐Ÿ’Ž

Fair Launch

// CUDA Token Configuration
const tokenomics = {
    supply: 100_000_000,
    stakingAPY: 12,
    distribution: {
        community: 0.4,
        development: 0.3,
        treasury: 0.3
    }
};
  • 0 M Supply
  • 0 % APY

Governance

  • โœ“ Community Voting
  • โœ“ Performance Bounties
  • โœ“ Long-Term Value

Ready to Distill Your Own Agent?

Join the CUDA movement and start co-owning AI Agents across marketing, trading, content creation, and more.

Launch App

Start co-owning AI Agents

Token

Explore tokenomics

Documentation

Read the technical docs

๐Ÿค Strategic Partners ๐Ÿค

A

Accucrazy

AI Research Partner

Leading AI research and development, specializing in advanced language models and neural networks for enterprise solutions.

  • โ†’ Advanced AI Model Development
  • โ†’ Enterprise Integration
P

The Pocket Company

Technology Integration Partner

Expert in AI agent development, tokenization, and Web3 integration with proven success in enterprise implementations.

  • โ†’ Moana Language Model
  • โ†’ Brand Marketing Experience
C

Comma3

Strategic Development Partner

Specialized in blockchain infrastructure and decentralized systems development for AI integration.

  • โ†’ Blockchain Architecture
  • โ†’ Smart Contract Development
10110101
01001100
11100110