OptNet AI

OptNet AI Technical Architecture

In order to give full play to the characteristics of blockchain, OptNet AI system design is divided into data layer, AI model layer, oracle layer, bidding layer, incentive layer, and application layer. This architecture is crucial for building transaction and incentive components on top of traditional AI computing power trading platforms.

OptNet AI Application Scenarios

OptNet AI provides a range of core features designed to create a comprehensive, user-friendly and innovative AI ecosystem:

AI Model Ecosystem

Decentralized AI Marketplace

AI Mini Program Ecosystem

AI Model Bounty Program

Token Ecosystem

Token issuance and distribution

OptNet AI Token (ONA) is designed to drive and incentivize participation and contribution across the ecosystem. Here is an overview of the OptNet AI Token model:
The total supply is capped at 500 million. Token distribution is as follows:

Token Name: ONA

Total Tokens: 500 million

ICO: 8%
For exchange listing liquidity release and listing activities.

AI model computing power mining: 20%
For global AI large model node staking and mining rewards.

OptNet AI Foundation: 20%
TGE unlock rate is 0%, cliff period is 2 months, and daily vesting plan is 48 months.

OptNet AI Research Center: 17%
TGE unlock rate is 0%, cliff period is 3 months, and vesting plan is 48 months.

Charity: 25%
For incentives for global AI model research.

Market Operations: 10%
For airdrops, ecosystem developer rewards, etc.

About the Team

OptNet AI team members have diverse professional backgrounds and skills, and are committed to promoting the application and development of AI technology in projects.

Robert Nayo (Founder and CEO)

Robert holds a Ph.D. in Computer Science from Stanford University and has held senior technical positions at several top technology companies in Silicon Valley. He has extensive experience in artificial intelligence and entrepreneurship. As the founder and CEO of OptNet AI, Robert is committed to setting strategic direction and driving company development, leading the team to realize the company's vision.

David Thompson（Data Scientist）

David graduated from Harvard University with a master's degree in statistics. He has extensive experience in data analysis and modeling, and is proficient in using machine learning algorithms and data visualization tools. As a data scientist at OptNet AI, David is responsible for analyzing project data, building predictive models, and providing data-driven decision support, providing key insights for project success.

Michael Roberts (CTO)

Michael graduated from MIT with a PhD in artificial intelligence and machine learning. He has served as CTO in an artificial intelligence startup, focusing on AI technology research and application. As CTO of OptNet AI, Michael is responsible for leading the technical team to develop innovative AI solutions and ensure the successful application of technology in projects.