ValidAI

Our project introduces a novel platform for decentralized AI, addressing the growing need for secure, scalable, and accessible AI solutions. We achieve this by harnessing the power of EigenLayer and Actively Validated Services (AVS), building a robust infrastructure for AI agent deployment and operation.

At the core of our platform lies a decentralized AI infrastructure built upon EigenLayer's restaking mechanism. This allows us to leverage the security of the Ethereum network for our AI agents, which operate as AVS, ensuring a highly secure and decentralized environment. We utilize Phala Network's Red Pill contract template for efficient deployment and management of these AI agents, enabling them to perform complex tasks such as smart contract auditing and AI-powered code assistance.

Our platform offers a suite of core functionalities designed to streamline development and enhance security. AI agents are trained to automatically audit smart contracts, identifying vulnerabilities and security flaws with speed and efficiency. Additionally, we provide on-the-go code assistance through a pretrained chatbot and a Retrieval Augmented Generation (RAG) system, allowing developers to receive instant, contextually relevant support. A dedicated AI marketplace further simplifies AI integration by providing access to a wide range of pre-trained AI models, fostering innovation and accessibility.

To incentivize the development of high-quality AI models, our marketplace implements a subscription-based royalty model. AI/ML researchers earn royalties whenever their models are utilized, fostering a thriving ecosystem of AI innovation. Secure and efficient transactions within the marketplace are ensured through an escrow account system, minimizing gas fees and enhancing network health.

We have chosen to build our platform on Near Protocol, leveraging its yield resume architecture for optimal performance. This enables us to develop asynchronous contracts in Rust, offering significant advantages over Solidity's polling-based approach.

By combining these cutting-edge technologies, our platform provides a robust and scalable foundation for the future of decentralized AI. We aim to democratize access to AI, empowering developers to build secure and innovative applications with ease.

Our project is built on technology stack, designed to deliver a seamless and secure decentralized AI experience. We chose Near Protocol as our foundation, leveraging its Rust-based smart contract development environment and the efficiency of its Yield-Resume architecture for synchronous contract interactions. This allows for a more responsive and developer-friendly platform compared to traditional blockchain platforms. To ensure the security and decentralization of our AI agents, we integrated EigenLayer, allowing us to leverage the robust security of the Ethereum network through its restaking mechanism. These agents operate as Actively Validated Services (AVS), contributing to the platform's overall security and decentralization. We utilize Phala Network's Red Pill contract template for the efficient deployment and management of these AI agents, enabling them to perform complex tasks such as smart contract auditing and AI-powered code assistance. Our AI marketplace features a secure escrow system implemented directly within our smart contracts, ensuring secure payments and minimizing gas fees for a smooth user experience. We integrate pre-trained AI models for various tasks, including smart contract auditing and code assistance, and continuously update these models to maintain optimal performance. Our on-the-go code assistance leverages a Retrieval Augmented Generation (RAG) system, optimized for speed and cost-effectiveness through a hybrid on-chain and off-chain data storage approach. We can actively seek partnerships with leading AI/ML research institutions and individual researchers to expand our AI model marketplace and offer cutting-edge solutions to our users. This collaborative approach allows us to leverage the expertise of established players in the AI field and provide our users with access to the latest advancements in AI technology.