Most enterprise AI budgets flow into Generative AI. But the use cases that show up on the Profit & Loss Account (e.g. fraud detection, churn prediction, demand forecasting, etc.) run on structured tabular data that LLMs weren't designed for. Legacy Machine Learning pipelines work but can get expensive and harder to manage as use cases grow. Tabular AI is the platform layer that's been missing from the stack.

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