Why ChainOpera AI?

The Overview of ChainOpera AI

For End Users: Pioneering AI Agent Launchpad and Personal AI OS with Innovative Revenue Models

ChainOpera introduces innovative revenue models to support AI agent creation and Personal AI Operating Systems (OS). Key features include:

• Enables multi-role value flows between AI resource providers, agent builders, and users (i.e., allowing computing power, data, and model providers to contribute directly to online AI Agents, while other platforms rely on Web2 GPU cloud platforms including AWS Bedrock, Google Vertex AI, and Microsoft Azure AI)

• Give AI developers flexibility to publish and monetize various AI software and custom tokenomic models

• Rewarding users for contributing their private mobile data to train specialized Web3 language models and generative AI

• Provide agent-to-agent transaction protocols as the foundation for an AI Agent Society

Creating an inclusive AI economy for all roles demonstrates that we are a truly decentralized AI platform. Going beyond, as a blockchain L1 AI platform, ChainOpera actively supports diverse AI applications with unique tokenomics. We view LLM-based AI Agents as just one form of AI software, envisioning Personal AI OS with multimodal models and on-device federated learning as powerful digital companions to expand the blockchain AI community.

For AI Developers, Creators, and Resource Providers: Growth and Monetization

ChainOpera empowers developers and resource providers (GPU/compute, data, and model) with the following tools and opportunities to innovate, monetize, and thrive in a decentralized AI ecosystem:

• Growth Channels

  • The flagship app, AI Keyboard & AI Agent Galaxy, is built into traffic portals by rewarding users with “type to earn” and providing an entertaining and fun AI agent community

  • Enable data collection and labelling service in a joyful way, leveraging people’s routine task (type)

• Federated AI OS

  • Faster monetization: Launchpad with customized tokenomics

  • CoAI SDK for easier creation and faster Agent and GenAI app creation and deployment

  • Healthier and more resilient economics and multi-flow token value networks: ChainOpera is a fully decentralized AI community involving all roles: from data and GPU resource suppliers to model developers, AI agent/app creators/developers, and end-users who can monetize their private data to improve community-driven AI.

  • Earn more because of cheaper and faster underlying “Federated AI Platform”

  • Provide data sovereign capabilities to AI end users

  • Personalized models with on-device/edge model training

• Federated AI Platform

  • The world’s pioneering decentralized AI platform to allow resource sharing from decentralized community

  • Cheaper, faster, and scalable AI infrastructures (GPUs and model inferences)

  • Dark data pool: enable higher quality models by private-preserving training and inference (federated learning, DP, TEE, MPC, etc.) on user-contributed private data

• ChainOpera AI Chain

  • Enhanced scalability and security for AI dedicated chain

  • Grants and incubator programs for incentivizing developers cold start with lower cost

  • Participate governance for a better DeAI community by staking and DA

Unique in Go-to-Market Strategy, Revenue Model, and Technical Moat

• Go-to-market strategy for network effect and AI data flywheel: The network effect is reflected in more AI agent users incentivizing developers to create more templates. AI Agent Builders provides templates for deploying and issuing AI tokens, simplifying transactions and the use of AI Agents. On the data flywheel, the AI ​​Terminal mobile application efficiently collects private data and rewards users for their data contributions through daily input. Federated learning then trains specialized AI Agents and task-specific models, resulting in unique GenAI models that benefit the community, which in turn further incentivizes the creation of more distinctive AI agents.

• Healthy revenue models: ChainOpera Ecosystem maintains a healthy revenue model, generating recurring revenue from enterprise AI services, with large number of AI model developers onboarded and high daily model inference usage. Additionally the platform generates revenue through platform services, AI model and agent services, and other mechanisms.

• Deep technical moat: The core team members have collectively earned over 80,000 academic citations, with papers published at top AI and blockchain conferences. Their recent research includes groundbreaking work on proof of contribution, ZKML, the Fox small language model, ScaleLLM for scalable LLM serving, TensorOpera Router for edge-cloud hybrid model serving, and numerous papers on federated and distributed training using geographically distributed data. ChainOpera Platform is backed by years of efforts in these deep technologies.

Globally Distributed Team with Diverse Background

ChainOpera's co-founders, Prof. Salman Avestimehr and Dr. Aiden He, bring extensive backgrounds in AI and blockchain technologies. Prof. Avestimehr serves as a Dean's Professor at the University of Southern California (USC), directs the USC-Amazon Center on Trustworthy AI, and is an IEEE Fellow in AI and decentralized computation. Dr. He contributes rich R&D experience from leading internet companies including Meta, Google, AWS, and Tencent, with expertise in machine learning and AI applications, and has been deeply involved in Web3 projects. Together, they are also co-founders of TensorOpera and FedML, a leading AI company providing GenAI model services and AI agents to enterprises and developers.

The broader founding team includes members with exceptional backgrounds from prestigious institutions including UC Berkeley, Stanford, USC, MIT, Tsinghua, Google, Amazon, Tencent, Meta, and Apple. They bring extensive experience in developing and operating AI/Web3 communities for consumer applications with large user bases. ChainOpera AI now comprises team members across US, Asia and Europe.