
ChainOpera
Blockchain and Protocol for co-owning and co-creating decentralized AI apps and agents.
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ChainOpera AI is a decentralized Layer-1 blockchain and artificial intelligence operating system engineered for the co-creation and co-ownership of AI agents and applications. The company was established in 2024 by Professor Salman Avestimehr and Dr. Aiden He. The founders possess extensive backgrounds in AI and blockchain. Professor Avestimehr is a Dean's Professor at the University of Southern California (USC) and directs the USC-Amazon Center on Trustworthy AI, while Dr. He brings research and development experience from major tech companies like Meta, Google, and Tencent. Before ChainOpera, they co-founded TensorOpera and FedML, which focuses on providing generative AI services and open-source frameworks for federated machine learning.
The firm operates in the blockchain AI market, aiming to build a collaborative and transparent AI economy. It connects the demand for AI solutions with a decentralized supply of computing power, data, and developer contributions. Its business model generates revenue from enterprise AI services, token issuance for community maintenance, platform fees, and AI model and agent services. ChainOpera's platform is designed for developers to build, train, and deploy AI models using distributed resources. It offers a Federated AI OS™, a platform for creating and managing AI agents that allows for AI coin issuance. This system includes a launchpad, a software development kit (SDK), and an agent framework to simplify the creation process. For end-users, ChainOpera provides a mobile application called the "AI Terminal". This app features a "Type to Earn" system, rewarding users with tokens for contributing their data to train language models. The platform also serves as a marketplace for AI agents, allowing developers to monetize their creations.
A core component of the business is its Layer-1 blockchain, which is optimized for AI inference, scalability, and security. It utilizes a federated learning architecture, enabling multiple parties to train models without directly sharing their data, thus preserving privacy. This decentralized infrastructure pools resources like GPUs, data, and models, offering an alternative to centralized cloud services. The company recently announced a seed funding round of $17 million, led by Finality Capital, Road Capital, and IDG Capital, with participation from numerous other investors. The funding is intended to expand the ecosystem and further develop its technology.
Keywords: decentralized AI, Layer-1 blockchain, AI agents, federated learning, AI operating system, co-creation, co-ownership, Web3, tokenomics, generative AI, machine learning, decentralized applications, AI marketplace, data sovereignty, AI protocol, GPU sharing, AI inference, blockchain infrastructure, decentralized cloud, AI economy, Salman Avestimehr, Aiden He, TensorOpera, FedML, AI Terminal