Risk AI
Document Intelligence
RAG
Compliance
Risk AI
Document Intelligence
RAG
Compliance
Tenet
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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.
Layer 2 blockchain with
AI integration
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.
solutions
Customized MoE Framework
This included combining specialized AI models for advanced data handling and execution, allowing developers to create and monetize AI agents.
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.
Atlas: Web3 Copilot
This tool simplifies research and market tracking, enhancing usability for both technical and non-technical users.
Testnet Tools and Ecosystem Support
These tools enabled users to interact with the platform effortlessly, contributing to over 1 billion testnet transactions.
Community Engagement Platform
These initiatives attracted 617K+ unique users and resulted in 125K+ daily claims, reflecting the flexibility of custom blockchain development.
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 rapid
computation. 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 ecosystem
functionality. 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
qa
Vitalii Dorokhin
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