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The most valuable resource in the AI economy is data. Not just any data—specialized, high-quality, labeled data that can train models for specific industries, tasks, and use cases. The companies that control this data will control the future of AI. But there is a problem: the best data is distributed. It exists across millions of individuals, businesses, and organizations, each holding small pieces of a larger puzzle. Traditional approaches to data collection—centralized scraping, purchased datasets, corporate partnerships—are reaching their limits.
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