📊 Use Cases

NeuraLink is a general-purpose decentralized intelligence platform. It enables a wide range of participants—from developers and data owners to enterprises and protocol builders—to contribute to and benefit from collaborative AI.


8.1 AI Developers & Independent Researchers

  • Fine-tune models using shared datasets

  • Deploy models and earn passive income from usage

  • Participate in DAO governance to influence model evolution and rules

Value: Reduces infrastructure costs and opens access to shared compute and data resources, empowering solo developers and small teams.


8.2 Data Contributors & Custodians

  • Upload niche, proprietary, or underrepresented datasets

  • Define access control (public, whitelisted, task-only)

  • Earn token incentives based on data usage and reputation

Value: Turns passive or unstructured data into an income-generating digital asset, while preserving privacy and ownership.


8.3 Web3 Protocols & Partners

  • Integrate user behavior or on-chain data into simulation training

  • Launch domain-specific models (e.g., contract security, social analysis)

  • Co-govern simulation incentives and DAO rules

Value: Infuses intelligence into existing Web3 protocols, enabling AI-powered tooling without centralized APIs.


8.4 AI Agent Trainers

  • Simulate and evolve autonomous agents via on-chain tasks

  • Build agents with long-term memory and environment awareness

  • Govern agent behavior and permission boundaries through DAO

Value: Enables decentralized training and deployment of on-chain AI agents with collaborative alignment.


8.5 Industry-Specific Model Deployment (Enterprise)

  • Deploy private or industry-targeted models (e.g., medical, education, finance)

  • Use protected datasets with trusted execution nodes

  • Gate API access and monetize usage via smart contracts

Value: Combines secure data sovereignty with scalable, decentralized inference tools.


8.6 Open Model Marketplace & Co-Creation

  • List, score, and review community-trained models

  • Fork, remix, or combine models transparently

  • Audit model lineage and usage logs on-chain

Value: Builds a fully transparent, composable, and fair-value AI economy—where models are not just code, but collectively-owned assets.

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