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Tagger
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Tagger
@TaggerAI
A Decentralized AI Data Solution Platform for Data Labeling, Processing, Management, and Trading. Tasks are now live at https://t.co/u1q0qBWVYq
AGI Bergabung Ocak 2024
47 Mengikuti24K Pengikut
In the traditional AI corporate model, each company is forced to build its own isolated data estate, repeating the same labor behind closed walls. This is wasteful by design.
Tagger’s Data Authentication Protocol proposes a simpler truth where data work should be verifiable, permissioned, and composable across organizational boundaries, so that value created once does not need to be recreated again and again.
#DeCorp extends this logic into production. Instead of different firms operating as disconnected silos, multiple parties can contribute to a shared, authenticated data process while preserving ownership and access control. What we build is decentralized in participation, rigorous in verification, and far more efficient than the legacy model it replaces.
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Data has become the scarce resource, yet access to it is still negotiated through layers of trust, paperwork, and intermediaries. This creates a market where ownership is unclear and permissions are brittle. A system that cannot grant and verify access in a simple, auditable way will not scale to the demands of machine intelligence.
#DeCorp treats access as a native property of the dataset itself. Grant Access to Data is expressed through a Data Passport (DP) and enforced with layered permissions for different parties. These parties include creator, reviewer, buyer, and operator. This is all done without a management layer to arbitrate every step. When access should end, Burn DP ends it.
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Traditional data factories (or most corporate systems) are built as top-down hierarchies, and incentives inevitably drift. Coordinators capture the upside while workers are treated as a cost to be minimized. This leads to lower-quality data, opaque value capture, and a system that quietly taxes everyone downstream.
#DeCorp fairly compensate contributors for measurable contribution so fair work produces fair pay, fair pay produces fair data, and fair data produces fair AI, without requiring trust in a central operator’s discretion.
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Professional annotator scarcity is a structural AI bottleneck. When expertise is scarce, cost and latency rise non-linearly. #DeCorp unlocks latent capability with protocol + tooling. AI Copilot doesn’t replace humans. It standardizes work and quality, and scales the workforce.
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In tradition models, data lives in isolated vaults - duplicated, withheld, and governed by trust in intermediaries.
This creates silos, friction, and waste: the same work repeated, the same insights locked away, the same progress delayed.
#DeCorp creates a fundamental change that focuses on authenticated data sharing as a native primitive. Instead of relying on permissioned gatekeepers, participants can collaborate permissionlessly while preserving integrity, proving what the data is, where it came from, and that it has not been tampered with. This allows a system that enables “sharing,” while also dissolving silos, making coordination rational, enabling AI to compound faster by forging inter-company data collaboration work.
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It’s been a tremendous year for #DeCorp.
This year, we built from the ground up, growing a strong base of data workers and trusted enterprise data clients.
Thank you to everyone for your contributions and support. Wishing you all the best in the year ahead.
Merry Christmas! 🎄
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Traditional corporate structure runs from the top-down, with workers typically earning 10% of each dollar value they generate.
At #DeCorp, contributors are equal with no management layers and intermediaries on top cutting the cake. Instead, the pipeline is managed by algorithms.
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On the business-to-business side, Tagger solves a critical bottleneck in the AI data industry: lack of data trust.
AI data are often even more prone to misuse, theft, and alterations than regular IPs. They form one of the largest branch of AI advancement, and yet, companies still work behind closed doors to prevent data leakage, spending millions each year to protect data.
This is much simpler in #DeCorp, enabling an authenticated data management system that enables cross-company collaborations and traceable data management rights.
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We are pleased to announce that $TAG will be listed on @Aster_DEX Spot.
In conjunction with this listing, we are opening a trading competition with a total prize pool of $100,000 (split evenly between $ASTER and $TAG).
Campaign Details
Window
Dec 5, 10:00 UTC to Dec 12, 23:59 UTC.
Qualification Requirements
To remain eligible for rewards, you must meet both criteria:
Hold: Maintain a balance of 444 $ASTER (Spot + Perpetual) throughout the entire campaign window.
Trade: Accumulate a minimum of $4,000 in trading volume on the TAG/USDT Spot pair.
Prize Allocation Rewards are distributed pro-rata based on your share of total trading fees contributed during the event. Note: Rewards are capped at 3% of the total prize pool per user.
Aster 🥷@Aster_DEX
$TAG ( @TaggerAI ) is listing on Aster. 📊🤖 🕒 Dec 5, 10:00 UTC – Dec 12, 23:59 UTC 🎁 $50,000 in $ASTER + extra $TAG rewards 📈 1.2x boost for TAG/USDT Spot trading during the campaign To qualify: 🔶 Hold 444 $ASTER on Aster (Spot + Perpetual) for the entire campaign window (Dec 5, 10:00 UTC – Dec 12, 23:59 UTC). Holdings from concurrent Aster campaigns count toward this requirement. 🔶 Trade ≥ $4,000 TAG/USDT Spot volume on Aster (Perpetual volume not counted). 🔶 Rewards allocated pro-rata by your share of TAG/USDT Spot trading fees, capped at 3% of the prize pool per user. Market makers excluded. About Tagger ( @TaggerAI ): Tagger is a DeCorp AI data solution platform for data labeling, processing, management, and trading, running full-stack data pipelines with partners like Huawei Cloud, BVCI, BlueSky Carbon, ReadiiTel, and more. Details 👉 @AsterDEX/9ad1d9c040e6" target="_blank" rel="nofollow noopener">medium.com/@AsterDEX/9ad1…
Check out our ongoing campaigns 🎮 asterdex.com/en/rocket-laun… English
Data Passport governs permissions and authorization for data management and transfer. This enables safer and more efficient internal data management for companies while also opening the door for cross-company data collaboration (something that's almost never done in traditional corporate structure due to trust issues).
AI trainers and data cleaners can be granted right to data access only while data are held by management layers in a company. Layered permissions with different rights can also be granted.
Data passports can also be burnt, transferred in a trade, or even sold in a "usable but not visible" form.
This forms a crucial B2B infrastructure for #DeCorp.
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Manual Labeling sets important foundational framework for pre-trained CV models which enables AI Copilot Labeling and active learning.
The #DeCorp system runs on a self-evolving cycle where manual labeling forms a 60%-75% "accurate" pre-trained model that, when used for Copilot Labeling, greatly enhances labeling efficiency.
Over time, outputs from AI Copilot Labelings are either sold to clients, or fed back into the RLHF loop to reinforce accuracy of CV models until they reach industry-grade. In this case, the copilot model becomes industry-ready and can also be provided along with the data to our clients.
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Through this partnership, Tagger's Data Authentication Protocol now powers @dgrid_ai, enabling collaborative data work between @dgrid_ai's network of partners and clients.
The #DeCorp data management system solves the longstanding issue of trust in corporate collaborations in HITL procedures, preventing any form of theft, data leakage, and misuse, allowing a lower-cost data handling pipeline since more parties are involved.
DGrid AI@dgrid_ai
🎉We’re thrilled to announce the partnership between @dgrid_ai and @TaggerAI — the decentralized AI data labeling, processing, management, and trading platform. 💡DGrid will be using Tagger’s data authentication protocol to process collaborative data work between our partners and clients. This enables special data management procedures resolves trust between multi-platform data work, cutting cost. Stay tuned for updates.👀 #web3 #AI #DGrid #DGridAI
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We are pleased to announce a strategic partnership with @Chain_GPT to strengthen data reliability, agent execution, and AI-assisted operations on both sides. Tagger will conduct experiments of using the #DeCorp HITL pipeline to verify and clean high-priority data streams feeding @Chain_GPT’s Nova agents, so the output is fast, relevant, and resistant to noise.
@Chain_GPT will also acquire selected, industry-specific datasets from Tagger for its AI Data Marketplace, providing a verifiable source of training material.
Over time, @Chain_GPT's Web3 AI chatbot and AgenticOS will be integrated into the #DeCorp environment to reduce friction in task onboarding and routing.
This is a reciprocal collaboration where each network reinforces the other, driving mutual pipeline accelerations.
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The Timestamping Alliance has been growing, and we're pleased to be a part of the @pieverse_io Booster Campaign. During this phase, our community can issue on-chain invoices and receipts using our token through Pieverse Timestamping.
For Binance Wallet users, pay an invoice with $TAG to qualify for Booster rewards. If you haven't joined the Booster Campaign, you can still complete invoice payments on Pieverse and collect Pieverse Points to qualify for future airdrops.
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We’re pleased to announce a strategic partnership with @myshell_ai to advance decentralized AI data collaboration.
Together, we’re building a more intelligent and interoperable data layer, enabling agents and AI applications to access, learn, and evolve through transparent, permissionless information flows.
MyShell, backed by leading investors and home to millions of users, brings strong expertise in AI-native app creation, making it an ideal partner for shaping this future.
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