Blockchain Development

Web Development

AI Development

Bridge

Staking

L1

Hybrid: Revolutionizing Blockchain and AI Integration

Hybrid is a Layer 2 blockchain on Arbitrum Nitro, integrating the Mixture of Experts (MoE) framework to power specialized AI agents. By enabling real-time AI execution on-chain, it bridges blockchain and AI-driven solutions. With Atlas – The Web3 Copilot, Hybrid simplifies market research, data tracking, and AI monetization, solidifying its role in blockchain innovation.

Hybrid logo

Layer 2 blockchain with
AI integration

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project overview

Hybrid aims to bridge blockchain and AI technologies, offering unparalleled opportunities for developers and businesses, while showcasing diverse blockchain use cases in AI-driven innovation. By combining Ethereum’s scalability with the MoE framework, the platform provides blockchain application examples that redefine AI-driven solutions. Its cutting-edge architecture and user-focused tools position Hybrid as a premier blockchain supply chain platform for AI data flow and monetization.

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solutions

Customized MoE Framework

This included combining specialized AI models for advanced data handling and execution, allowing developers to create and monetize AI agents.

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L2 Blockchain Development

Our team developed the Hybrid Layer 2 blockchain using the Arbitrum Nitro stack, providing unmatched scalability and compatibility with Ethereum for streamlined AI integration.

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Atlas: Web3 Copilot

This tool simplifies research and market tracking, enhancing usability for both technical and non-technical users.

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Testnet Tools and Ecosystem Support

These tools enabled users to interact with the platform effortlessly, contributing to over 1 billion testnet transactions.

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Community Engagement Platform

These initiatives attracted 617K+ unique users and resulted in 125K+ daily claims, reflecting the flexibility of custom blockchain development.

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What we did

business CHALLENGEs

Integrating Ethereum’s Layer 2 scalability with the MoE framework required optimizing AI models for on-chain execution. Handling real-time AI-driven operations on a decen-tralized network was another hurdle, as blockchain environments aren’t built for rapidcomputation. Additionally, developing intuitive tools for blockchain, AI, and Web3 interactions without compromising usability was a key challenge.

results

The platform now runs on a Layer 2 EVM chain, enabling AI agent monetization through the MoE framework. Atlas Web3 Copilot streamlines on-chain data tracking, while a suite of Web3 tools, including an Explorer and Bridge, enhances ecosystemfunctionality. Within five weeks, the platform scaled to 192 countries, reflecting rapid global adoption.

team behind
the project

development

Oleh Shutiak, Oleh Proidakov, Dmytro Krasnoholovenko, Danylo Provilsky, Yaroslav Samoilenko

project management

Viacheslav Ivchenko

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Vitalii Dorokhin

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