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How a U.S. real estate data aggregator achieved 99% accuracy using intelligent document processing

How a U.S. real estate data aggregator achieved 99% accuracy using intelligent document processing

99%

human-validated data accuracy

48 hr

document processing turnaround

5M+

property records processed yearly

700+

counties supported
Client Overview

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Client Profile:

A leading U.S. real estate data aggregator collects and distributes public property records including deeds, mortgages, assignments, and lien documents from 700+ counties across 40 U.S. states. Processing over five million documents annually, the company provides structured datasets used by mortgage lenders, title companies, and real estate analytics platforms.

As document volumes increased, maintaining high data accuracy while reducing processing turnaround time became a critical operational priority. Hitech i2i partnered with the client to implement an Intelligent Document Processing-driven workflow designed to improve data quality and accelerate large-scale property document processing.

Hitech i2i completely changed the way we process real estate documents. Achieving 99% accuracy, the platform reduced manual work, improved data reliability, and helped our team work faster and more efficiently. It has become a critical part of our real estate data operations.

Regional Property Data Aggregator

Regional Property Data AggregatorPresident, USA

The Challenges

  • Manual processing limited scalability while handling over 5M documents annually.
  • Long turnaround time of up to 5 days delayed data delivery to downstream platforms.
  • Inconsistent data accuracy (~90%) due to document variability and manual entry errors.
  • Highly diverse document formats across thousands of U.S. county recorder systems.
  • Growing demand for faster, reliable property intelligence from mortgage and title customers.

The Hitech i2i Solution

  • Automated document ingestion and AI-driven extraction of 100+ key property fields.
  • Derived fields and validation checks were configured using customer-defined business rules.
  • Data standardized and normalized to PRIA standards.
  • Low-confidence and critical fields routed to Human-in-the-Loop validation workflows.
  • Custom tool enabled incremental delivery to client-defined warehouse schemas and tables.

The Result

  • Data accuracy improved from ~90% to over 99% validated accuracy.
  • Turnaround time reduced from 5 days to 48 hours.
  • Scalable processing of 5M documents annually.
  • Significant reduction in manual processing workload.
  • Faster and more reliable property intelligence for downstream analytics.

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