In the era of AI, the importance of data is becoming increasingly prominent. Data is not only the cornerstone of AI models but also a key resource that determines the upper limits of the models. The emergence of Tagger is precisely aimed at addressing issues such as inefficiency, chaotic certification, and centralized monopolies in the AI data ecosystem.

What is Tagger?

Figure:https://www.tagger.pro/

Tagger is a full-stack AI data solution platform built on Blockchain, featuring four core functions: data collection, data annotation, data management, and data trading. The platform leverages Web3 technology to achieve decentralized data sharing and verification, creating a borderless and permissionless data marketplace.

Why is data the core of AI?

As Andrew Ng said, "Data is like the blood of AI." Over 80% of AI development resources are actually invested in data collection and cleaning. Tagger is based on this pain point, providing a one-stop solution focused on data certification and efficient labeling.

How does Tagger solve the current AI data issues?

The current AI data market faces three key challenges:

1. Data silos are severe.Data resources are decentralized and difficult to share.

2. Certification standards are chaotic.Data authenticity is difficult to discern, and credibility is low.

3. Labeling efficiency is low.Lack of professional annotators makes it difficult to ensure quality.

Tagger leverages on-chain data certification protocols, combined with AI Copilot tools, to provide data workers with a secure, efficient, and professional working environment.

Decentralized Data Annotation and Trading Mechanism

Tagger provides an AI Copilot-assisted annotation tool suitable for various types of data, including text, images, and audio. Users can participate in tasks and earn $TAG rewards after completing annotations. Smart contracts ensure that results are public, data rights are transparent, and prevent centralized platforms from exploiting data workers.

In terms of data trading, Tagger's Marketplace supports data authorization, sale, and leasing, with the transaction process confirmed on the blockchain to ensure matching ownership and revenue.

The role and distribution mechanism of the $TAG token

Figure:https://tagger.gitbook.io/tagger-documentation/tokenomics/token-distribution

$TAG is the native token of the Tagger platform, used for:

• Publish and accept tasks

• Purchase and authorize data

• Subscribe to tool services

• Reward data workers

74% of the tokens are generated through the "Proof-of-Human-Work" model, which is earned through real work rather than pre-mined. This mechanism is fair and transparent, encouraging more people to participate in AI building.

The significance of Tagger to the AI industry

The emergence of Tagger not only enhances the efficiency of AI data processing but also breaks the monopoly of large companies over data in the Web2 world, truly realizing the democratization of data. Every Web3 user can create value on Tagger, driving AI towards a fairer, more transparent, and more powerful future.

Gate will launch TAG and initiate the HODLer Airdrop.

Gate will launch Tagger (TAG) on July 8, 2025, at 18:00 (UTC+8) non-first release and will kick off a limited-time HODLer Airdrop event, with a total airdrop amount of 52,910,053 TAG, 100% unlocked, with no lock-up period. Users holding no less than 1 GT can participate in the airdrop by completing identity verification through the Launchpool page, with the allocation distributed based on the GT holdings snapshot ratio, with a maximum of 1000 GT per person. The event does not require freezing GT, and the airdrop will be automatically distributed before 16:00 on July 8. After the airdrop ends, the TAG/USDT trading pair will officially go live.

Click the link to learn more:https://www.gate.com/announcements/article/45982