Aigarth DataLabel - Feeless AI Data Market
📉 The Problem: The High Cost of Clean Data For AI companies, data preparation is the single biggest bottleneck. The Cost Crisis: Centralized services like Scale AI charge massive markups (500%+) to cover corporate overhead. The Blockchain Barrier: Previous decentralized attempts failed because Gas Fees (on ETH/SOL) destroy unit economics. A company cannot efficiently pay $0.01 per label if the transaction fee is $0.05. 🚀 The Solution: Aigarth DataLabel Aigarth DataLabel is a B2B Data Marketplace built on Qubic that allows AI companies to crowdsource data verification at a fraction of the market rate. By leveraging Qubic’s feeless infrastructure, companies pay directly for results, not overhead or gas taxes. ⚡ Value Proposition for Companies 90% Cost Reduction: Because Qubic has zero transaction fees, companies pay only the worker's wage. Automated Quality Control: Our custom C++ Smart Contract enforces a "Rule of 3" consensus mechanism. A label is only accepted (and paid for) when multiple independent workers agree, guaranteeing high-accuracy datasets without manual oversight. Instant Scale: Companies can upload a dataset and tap into a global pool of verifiers immediately. Qubic handles the instant micropayments, removing payroll friction. Aigarth-Ready: We are optimized to generate Trinary Logic (-1, 0, 1) data, specifically positioning client companies to leverage the upcoming Aigarth ecosystem. 🛠Tech Stack Core: Qubic Smart Contract (QPI) for trustless consensus and payout logic. Frontend: Next.js + Three.js "Corporate Terminal" interface. Integration: Qubic TypeScript Library for real-time batch processing. We are building the Scale AI of the decentralized web- feeless, fast, and enterprise-ready.
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"I actually really like this idea. It tackles a real and growing problem: clean data is becoming one of the biggest expenses for AI companies, and nobody really knows how these costs will evolve as models get bigger and data demands explode. The team clearly understands why previous decentralized attempts failed, and using Qubic’s feeless infrastructure feels like a genuinely smart fit — it solves the micro-payment issue in a way that other chains simply couldn’t. The concept itself makes sense: companies want cheaper, reliable data labeling, and workers want instant payouts. The built-in quality control mechanism also gives the project more credibility, since accuracy is the biggest concern in crowdsourced labeling. My only reservation is the classic marketplace challenge — attracting both sides at the same time. But overall, the idea is strong, timely, and well aligned with where the AI industry seems to be headed. If they execute it well, it could actually offer real value. "
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Javier Celorrio
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