What is PublicAI (PUBLIC)?

By CMC AI
13 October 2025 03:14AM (UTC+0)

TLDR

PublicAI (PUBLIC) is a decentralized platform that bridges human expertise and AI development by crowdsourcing verified training data and rewarding contributors.

  1. Human-in-the-loop AI – Compensates users for providing/validating real-world data to train AI models.

  2. Revenue-driven tokenomics – Tokens are minted only when clients pay for data, with 90% of revenue used for buybacks and rewards.

  3. Cross-chain infrastructure – Built on Solana, NEAR, and BSC for scalable data validation and contributor payouts.

Deep Dive

1. Purpose & Value Proposition

PublicAI addresses AI’s “garbage in, garbage out” problem by sourcing high-quality, human-verified datasets. Contributors earn $PUBLIC tokens for tasks like labeling images, transcribing audio, or validating AI outputs. Clients (including Fortune 500 firms) pay in fiat or crypto, triggering token minting and buybacks – directly linking token value to platform usage (PublicAI Documentation).

2. Technology & Architecture

The platform uses a hybrid blockchain-AI stack:
- On-chain reputation: Contributors stake tokens to participate, with slashing penalties for low-quality work.
- Multi-chain rewards: Supports Solana (SPL), NEAR (NEP141), and BEP-20 tokens for payouts.
- Chainlink integration: Validates off-chain data quality for oracle networks (BlockBeats).

3. Tokenomics & Governance

  • Supply control: Only 20% of 1B max supply was circulating at launch (August 2025).
  • Revenue share: 90% of client payments fund buybacks, reducing circulating supply.
  • DAO rollout: Planned Q4 2025 to let token holders vote on treasury allocations and protocol upgrades (Community Post).

Conclusion

PublicAI positions itself as an ethical alternative to synthetic AI training data, leveraging blockchain to monetize human expertise. With $14M in client revenue and partnerships like MIT and Saudi Arabia’s government, it aims to become a backbone for AI development. Could its human-validated data model set a new standard as AI adoption accelerates?

CMC AI can make mistakes. Not financial advice.