What Is DeepNode (DN)?​

DeepNode is a decentralized AI infrastructure network that enables developers, validators, miners, and enterprises to collaboratively build, deploy, and monetize AI models across every industry. The network operates using a proprietary Proof-of-Work-Relevance (PoWR) consensus mechanism that rewards contributors based on actual utility rather than speculation.​

DN is the native utility token used for:​

• AI model queries, subscriptions, and API access
• Staking to secure validator and node operator roles on the network
• Backing promising AI models for revenue share opportunities
• Governance votes to determine protocol upgrades and domain parameters
• Building reputation through Dynamic Trust Weights that compound earnings and influence​

What makes DeepNode Unique?​

• On DeepNode, builders maintain IP rights and capture ongoing value from their models. Every time someone uses your model, you earn.
• Fully Homomorphic Encryption (FHE) supports private domains where sensitive data remains secure
• DeepNode's AI market mechanism encourages natural selection which means real world usage and peer validation elevate the best models.
• Consumer-grade UI and ultra-scalability for big data allows creators, validators, and users to build without limitations or coding requirements
• From drug discovery to fraud detection and more, DeepNode enables any AI use-case with intuitive one-click onboarding.​

How Many DN Tokens Are in Circulation?​

DeepNode is preparing for its Token Generation Event (TGE), with a maximum supply of 100,000,000 DN tokens.​

How do DN emissions work?​

The network implements usage-tied emissions where rewards scale with AI demand through the PoWR mechanism, distributing emissions from mainnet launch to validators, model creators, miners, data providers and other ecosystem participants. A portion of transaction fees from queries, subscriptions, and marketplace activities are automatically burned to create deflationary pressure, while staking and backing mechanisms lock supply. This design ensures that as network usage grows through enterprise pilots and cross-vertical adoption, emissions are balanced by burns, creating net deflationary dynamics at scale.