PublicAI

Web3 based Train-To-Earn network enables every human to upgrade AI and earn rewards by completing data tasks

PublicAI runs a Web3 data network where people earn rewards for completing AI training tasks, and where AI labs source the resulting data. The company calls this the human layer of AI: contributors bring their expertise and experience and are paid for it through a train-to-earn model. Earning happens on Trajector, PublicAI's contributor product, while labs request specialized, on-demand data through the PublicAI marketplace.

Quality control is handled on-chain. Access tests and SBT credentials verify validators' capabilities in specialized annotation fields, and a stake-slashing mechanism penalizes poor work, which the company argues reduces cost and redundancy compared with traditional platforms. The data collected is multi-modal, covering text, audio, video and mapping data. The site cites a decentralized network of millions of verified contributors and funding raised to build the platform. Listed in this directory under Automation with an AI agents tag, it is really a data-labeling marketplace.

There is no public pricing; labs are invited to request a pilot, while contributors join to earn rather than pay. If you have domain knowledge to contribute, start on Trajector; if you need data, request a pilot.

Category: Automation. Pricing: enterprise. Visit website

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