FAQs

Frequently Asked Questions

What is the KITE AI platform and why build on it?

KITE AI is a sovereign Layer-1 blockchain designed specifically for AI-centric applications, offering high throughput and low latency for complex AI workloads.

  • Open AI Marketplace: It provides an open marketplace for datasets and AI agents, enabling easy discovery and monetization.

  • Customizable Subnets: Developers can create or join specialized subnets to optimize data pipelines, privacy, and computational performance for targeted AI use cases.

  • Ownership and Rewards: By leveraging this specialized infrastructure, you can own your data and models, control pricing for usage, and receive transparent rewards for contributions.

How can I deploy my AI agents on this platform?

There are two ways to deplot your agentd and models. Though the GUI and through CLI ( coming soon). Steps explained below:

  • Develop Your Agent: Package your AI logic as a Docker image.

  • Publish and Deploy: Use the provided CLI tools to publish and deploy your AI agent onto your chosen subnet or the default community subnet.

  • Manage Agents: Through the dashboard, you can manage your agents, monitor usage, set your pricing, and track income distribution.

How does the monetization or incentive structure work?

The monetization and incentive structure is based on role of the participant and contribution/demand of their attribution to the platform.

  • Token-Based Rewards: Contributors (e.g., AI Builders, Data Providers, AI infra partners) earn platform tokens based on usage of their assets (datasets or agents or Infra).

  • Marketplace Listing: When you publish data or an AI agent, you set the price. Consumers pay in tokens upon usage; the platform tracks usage automatically.

  • Income Distribution: Subnet owners and creators can withdraw accrued income and distribute it among contributors in their subnet.

How do I select subnets, and how many can I use?

Each subnet can be optimized for specific use cases—high-throughput data ingestion, specialized AI modeling, etc.

  • Flexibility: You can join multiple subnets if your projects span different domains.

  • Access Controls: Some subnets are invite-only (private), while others are open to all developers.

Can I become a subnet owner and also a validator?
  • Yes. Subnet owners manage membership, invite new participants, and oversee reward distribution.

  • You can also run a validator node to secure the subnet, confirm transactions, and earn token rewards for those servic

What do validators do on KITE blockchain and how are rewards earned?
  • Transaction Confirmation: Validators confirm transactions and maintain network security.

  • Earning Rewards: They earn tokens for providing these services, with rewards often tied to factors like stake, workload, or accuracy.

  • Staking: By staking tokens, validators ensure security and can receive proportional rewards.

What privacy measures does the platform offer for data?

On KITE AI platform. users can choose to process data locally or in a controlled-access environment.

  • Sovereign Control: Owners have full control over how data is shared and monetized.

  • Secure, Decentralized Infrastructure: The Layer-1 design ensures data attribution is secure and usage is transparent.

Is there a step-by-step guide on how to upload data, especially if I process large volumes daily?

large data can be uploaded though CLI for agents ( in progress) and though Python SDK. The steps are as detailed below :

  • Create a Dataset: In the dashboard, select “Create Dataset.”

  • Use the Python SDK: Initialize and authenticate your session, then upload data in batches—especially useful for large-scale processes.

  • Publish Your Data: Set pricing and visibility, then publish.

  • Manage Tables: Organize tables in the data management section to monitor usage, performance, and income.

How does on-chain registration of platform activities work in practice? Can you provide examples?

While there are quite a few activities and events that are tracked on chain for various use cases, below are a high level overview of the categories and some examples of on chain registration (these are also applicable for AI agents and AI models):

  • Immutable Record: Key actions—dataset uploads, agent deployments, income distributions—are recorded on-chain.

  • Example: When creating a new dataset, the platform logs a transaction with the dataset’s metadata and ownership details. Subsequent usage (queries, agent calls) also gets recorded, ensuring transparent reward calculations.

How does the platform plan to integrate with specific decentralized storage solutions?

KITE AI emphasizes its built-in decentralized storage and local data processing capabilities. While discussing with third-party integrations (e.g., Filecoin & Walrus) are in flight, exact technical details or timelines are not yet finalised.

Are there caveats to working with this platform alongside other solutions or independently?

Kite AI platform is a decentralised platform for end users, ai builders and data providers. It provides benefits in various ways :

  • Open Marketplace: You have full control over listing your data or agents.

  • Collaboration Benefits: Joining a subnet can offer shared incentives and community-driven development.

  • Independent Deployment: There are no restrictions on deploying and monetizing your own assets independently, as long as you follow platform guidelines.

For more details about Kite AI , visit: https://gokite.ai or follow us on X at https://x.com/gokiteai

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