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While the Web3 market is still wrapped in speculative hype, KGeN has torn open the value gap with solid business results—anchoring a stable annual recurring revenue (ARR) of $80M+, escaping the industry's common ailment of 'relying on emotional swings', allowing token value to anchor on sustainable business growth, becoming one of the few 'cash cow' protocols in Web3.

The support for this revenue confidence comes from KGeN's dual-core business running in parallel and its innovative value capture mechanism. In the AI sector, its flagship KAI engine holds 48.9M+ globally verified real user resources, covering 60+ countries and 20+ language systems, precisely targeting the RLHF market with an annual compound growth rate of 23.4%, providing technology giants with full-stack enterprise-level AI training data services from human feedback reinforcement learning (RLHF) to speech synthesis (TTS). These real users, verified through the POGE reputation engine's multi-dimensional checks, completely resolve the AI industry's pain point of 'machine labeling impersonating human', making KAI the core data supplier for large model training, continuously harvesting the explosive dividends of the AI industry.