Imagine you ask AI to make the optimal financial decision for you, and it confidently provides the wrong answer. This is not due to AI being insufficiently powerful, nor is it a lack of model capability, but because it has read incorrect, corrupted, or untrustworthy data. This is the industry's most genuine pain point: garbage in, garbage out. No matter how powerful artificial intelligence is, it cannot surpass the quality of the data it relies on. But what if we change the scenario: AI