Prior Labs
Foundation models for tabular data
Prior Labs builds Tabular Foundation Models (TFMs), starting with TabPFN, that understand structured data natively by learning statistical reasoning directly from data. TabPFN, published in Nature, is a pre-trained foundation model for tabular data that delivers state-of-the-art predictions in seconds without task-specific training. The company offers TabPFN as an open-source model and via an enterprise API, targeting use cases in finance, healthcare, industrials, and scientific research.
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as of February 5, 2025 (Source)
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Foundation model for tabular data that delivers state-of-the-art predictions without task-specific training
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