Tagger runs a DeCorp business model that allows anyone, even without specialized industry knowledge, to be able to label and review industry-specific data (eg: Medical, Autonomous Driving Systems, Mechanical, etc). This is done through a pre-trained AI Copilot model that assists participants. Tagger runs two labeling modes: 1. AI Copilot Labeling (For specialized datasets), and 2. Manual Data Labeling (Labeling without assistance for pre-training the AI Copilot model). $TAG is fairly distributed through Proof-of-Human-Work and is directly claimable to the wallet 24 hours after request upon the submission of participants’ labeling/review tasks. No “reward points”, no “XP level”, just down-to-earth instant cross-border payment that people prefer in this cycle. Tagger’s DeCorp model enables a scalable million-people workforce without exponentially increasing operational and managerial costs which would otherwise incur in the traditional data industry. Also, participants retain 100% of the value they generate from work (as opposed to roughly only 10% in a traditional job) since the “managerial layer” and “intermediaries” are essentially algorithms. On average, participant’s hourly salary on Tagger is roughly $12 equivalent.

$TAG is fairly distributed through Proof-of-Human-Work and is directly claimable to the wallet 24 hours after request upon the submission of participants’ labeling/review tasks. No “reward points”, no “XP level”, just down-to-earth instant cross-border payment that people prefer in this cycle.

Tagger’s Data Authentication Protocol is an option for our enterprise clients to store their data ownership (DP: Data Passport) on-chain, which would allow collaborative cross-company data collaboration, data trading, and extreme data security.

Tag-To-Pump: 21.06% TGE: 100% Liquidity: 4.94% TGE: 100% Proof-of-Human-Work: 74% Every time a participant claims rewards for data labeling/review, tokens from this section is distributed.

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