Forage AI redefines how enterprises think about AI foundations through Data-for-AI. This involves creating clean, validated, and structured datasets that are AI-ready, avoiding raw, messy, or biased data. Reliable AI depends on precise, compliant, and bias-controlled datasets, as clean data fuels better learning, sharper predictions, and more ethical AI outcomes.