Core ideas and workflow

In the evolving landscape of AI development, ownership is shifting from centralized entities to contributors and users. Proof of Attributed Intelligence (PoAI): User-owned AI empowers individuals to maintain control over their data, models, and tasks while benefiting from transparent attribution and decentralized governance. Through PoAI, all contributions are verifiable and fairly rewarded, fostering trust and incentivizing collaboration.

The Kite AI ecosystem focuses on the seamless interaction between diverse roles—Validators, AI Agents, AI Model Builders, Data Providers and AI Applications and Users—and the Kite AI Blockchain platform. This decentralized framework ensures equitable participation and unlocks the potential for a transparent, user-driven AI economy.

1. Users

• Users interact with the platform by paying Kite Tokens for gas fees and transaction costs.

• They access services such as AI model deployment, data processing, and smart contract execution through the platform.

2. Validators

In Kite AI ecosystem, there are two types of validators :

• Blockchain consensus validators - Blockchain consensus ensure the security and integrity of the network.

• PoAI validators - Earn rewards in Kite Tokens based on their workload or the accuracy of their validation results.

3. Smart Contracts

• Smart Contracts handle transactions and automate data processing on the blockchain.

• These smart contracts rely on Kite Tokens for gas fees to execute actions.

4. AI Builders

• AI Builders design and deploy AI models on the KiteAI platform.

5. Data Providers

• Data Providers offer datasets for training and inference purposes.

• Their data is integrated into the platform, allowing AI models and smart contracts to process and utilize these datasets effectively.

6. Platform Administrators

• Platform Administrators manage the entire ecosystem, including token distribution, governance, and maintaining contracts with both Data Providers and Subnets.

• They ensure smooth operations and monitor the integrity of the blockchain system.

7. Subnets

• Subnets operate independently within the broader Kite AI Blockchain but integrate seamlessly in specific areas like AI agent development, AI model training, data processing, and other specialized operations. AI Agent, Model Builders and Data Providers collaborate seamlessly on subnets.

• Subnets allow for increased customization and efficiency in handling distinct datasets or specific AI objectives. PoAI underpins all subnet operations.

Overall, the ecosystem supports seamless interactions between users, AI builders, data providers, miners, validators, and platform administrators, creating a robust, AI-centric blockchain environment.

Roles	KiteAI Blockchain Ecosystem Stakeholder	Token flow
Users	Interact by paying Kite Tokens for gas fees and transaction costs.	Receive rewards indirectly through network security, data processing, and AI model deployment by other stakeholders.
AI Builders	Earn Kite Tokens by designing and deploying AI models.	Collaborate with Subnets to create specialized AI tasks, contributing to token generation.
Data Providers	Manage data storage and processing, earning Kite Tokens for contributing datasets.	Work with AI Builders to optimize data for AI tasks.
Governance	Influence token distribution through decision-making processes.	Participate in voting and policy formulation to manage token flows.
Validators	Earn Kite Tokens by ensuring network security and validating transactions.	Receive rewards based on the workload and accuracy of verification.
Miners	Earn Kite Tokens for performing computational tasks and maintaining network integrity.	Receive rewards for contributing to the overall security and efficiency of the blockchain.
Platform Administrators	Manage token distribution and oversee Subnet operations.	Allocate tokens efficiently across various stakeholders to ensure smooth ecosystem functionality.
Subnets	Collaboratively created by AI Builders and Data Providers to optimize AI tasks.	Generate tokens through specific AI and data-related activities, enhancing the overall flow within the ecosystem.