# 2. Core Thesis

HumanGrid AI is built on the idea that human intelligence remains essential for building reliable AI systems.

AI models require more than raw data. They need accurate labels, human review, contextual judgment, preference ranking, and continuous quality verification.

HumanGrid AI transforms these human contributions into a decentralized network where users can participate in AI data tasks and receive rewards based on the quality of their work.

The platform connects three major participants:

| Participant  | Role                                               |
| ------------ | -------------------------------------------------- |
| Clients      | Create AI data tasks and request verified datasets |
| Contributors | Complete labeling, annotation, and feedback tasks  |
| Validators   | Review submitted work and verify data quality      |


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