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The Tech behind CREDDT

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  • Continuously retrains models using validated data to refine extraction quality and adapt to new rent roll formats over time
  • Integrates human-in-the-loop feedback to address edge cases and enhance accuracy on property-specific nuances
  • Implements AI-driven normalization to standardize dates, rents, charges, and tenant identifiers across heterogenous files
  • Employs LLMs and vision-language models to analyze and extract intricate rent roll and cash flow formats, including tables and semi-structured layouts
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