Market Challenges

  1. Low Signal-to-Noise Ratio in Social Content: AI systems struggle to identify meaningful content amid the overwhelming volume of spam, misinformation, and low-value chatter across platforms like X and Telegram.

  2. Opaque, Centralized AI Training Models: Current AI development remains locked within corporate silos, with little visibility into how data is sourced, filtered, or biased—eroding trust and transparency.

  3. Lack of Incentives for Content Creators and Validators: There is no established mechanism for rewarding those who generate high-quality data or verify its accuracy. Value is captured by platforms, not the people contributing to the intelligence layer.

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