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AI-powered document classification for a leading real estate marketplace

AI-powered document classification for a leading real estate marketplace

50,000

property documents classified daily

99%

AI-based document classification accuracy

<5%

of documents required human review

1

second per document processing time
Client Overview

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Client Profile:

The end customer is a leading real estate marketplace headquartered in New York, providing property listings, home value insights, and real estate intelligence to millions of users. The platform aggregates public property records from thousands of county recorder offices across the United States to power property analytics, ownership insights, and real estate data products.

Hitech i2i supported this initiative through a technology partnership with the client, who was responsible for delivering structured property datasets to the marketplace platform. The engagement focused on implementing an AI-powered document classification solution capable of identifying document types and sub-types across diverse county formats, supporting high-volume processing of up to 50,000 documents per day before pushing the documents downstream for automated data extraction.

Hitech i2i’s approach to combining AI with targeted human validation gave us the confidence to scale without compromising data quality. Their solution has become a critical part of our data processing infrastructure.

Real Estate Marketplace

Real Estate MarketplaceChief Technology Officer (CTO), USA

The Challenges

  • Property records included 30+ document categories with overlapping formats.
  • Documents originated from multiple counties with inconsistent layouts and naming conventions.
  • Scanned records often contained poor image quality and mixed document packets.
  • Manual classification was slow and difficult to scale for large document volumes.
  • Incorrect classification impacted downstream data extraction and processing workflows.

The Hitech i2i Solution

  • AI-powered classification engine automatically identifying document type and subtype.
  • Processing pipeline designed to classify up to 50,000 documents per day.
  • Support for 30+ property document categories across county records.
  • Confidence scoring with Human-in-the-Loop validation for low-confidence predictions.
  • Human review triggered for less than 5% of documents requiring verification.
  • Classified documents automatically pushed downstream for structured data extraction.

The Result

  • 99%+ document classification accuracy across diverse property records.
  • Human intervention reduced to less than 5% of documents.
  • Classification productivity improved from 6 seconds to 1 second per document.
  • Reliable document categorization improved downstream data extraction accuracy.
  • Scalable pipeline supporting high-volume property record processing.

Eliminate Manual Data Extraction from Property Documents

Learn how AI automates real estate data aggregation and delivers clean, structured data faster.

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