Use cases

Mindmesh opens up a wide range of novel applications across industries, ecosystems, and communities:

  • AI Developers: Deploy and monetize AI models without hosting infrastructure. Earn $MESH when users run your models or fork your agents. Use the Model Hub as a global registry for interoperable model modules.

  • Researchers & Labs: Share datasets, benchmark models, and publish open science. Contribute to a decentralized research commons and receive rewards proportional to usage and citation.

  • Startups: Avoid the high costs of centralized cloud AI providers. Use Mindmesh to build apps with embedded intelligence, serve real-time inference, and access community-maintained agents.

  • DAOs & Communities: Launch on-chain copilots, decentralized oracle validators, or proposal bots that help communities reason, coordinate, and vote intelligently — all verifiably and permissionlessly.

  • Enterprises: Run internal models on a private subnet of the Mesh. Audit model behavior via zk proofs. Secure proprietary data while benefiting from open AI infrastructure.

Mindmesh makes AI infrastructure accessible as a modular public good.

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