AI Data Extraction for Real Estate at Scale

Yes. Hitech i2i is designed to extract structured data from tabular sections commonly found in deeds, mortgages, and lien documents.

Example: If a mortgage document contains a table listing loan amount, interest rate, maturity date, and payment terms, Hitech i2i correctly identifies the table structure and maps each cell to the appropriate data field rather than flattening it into unstructured text as generic OCR tools do.

Hitech i2i supports extraction from handwritten notes, marginal annotations, and stamped text, which are common in county records and legacy documents.

Example: Handwritten release notations, margin notes indicating partial satisfaction, or handwritten corrections on older deeds can be detected and extracted as contextual signals rather than ignored.

Yes. Hitech i2i is purpose-built to handle historic records, low-resolution scans, faded text, skewed images, and legacy formats.

Example: County deed books scanned from microfilm or decades-old paper records often unreadable to standard OCR can still be processed accurately using Hitech i2i’s preprocessing and real estate trained extraction models.

Yes. Hitech i2i is trained to handle county-level variation in document layouts, terminology, and recording standards.

Example: A warranty deed from Texas and a grant deed from California may look structurally different, but Hitech i2i extracts the same logical fields (grantor, grantee, legal description, recording date) in a consistent schema.

Absolutely. Hitech i2i allows customers to custom-define the fields to be extracted per document type or sub-type.

Example: One data platform may extract 20+ attributes for analytics, while another may extract only ownership and transaction dates. Hitech i2i supports both without re-engineering the pipeline.

Yes. This is a key differentiator. Hitech i2i supports user-defined calculated and derived fields as part of the extraction pipeline.

Examples include: Hitech i2i’s intelligent data extraction can determine active versus inactive lien status by analysing mortgage and release documents, compute an effective ownership date from multiple recorded instruments, and create portfolio-ready indicators such as ‘first-lien only’ or ‘open mortgage present.’ All these calculated fields are delivered seamlessly alongside the extracted data, providing a complete, actionable view for real estate portfolios.

Yes. Calculated field logic can be customized per customer, per dataset, or per downstream system, without affecting other workflows.

Example: A title data platform and an investor analytics platform can use the same extraction pipeline but apply different calculated rules tailored to their business models.

Hitech i2i typically achieves 99% field-level accuracy on standard real estate documents, with accuracy improving further through confidence-driven validation. Low-confidence fields are automatically routed for human review, ensuring data quality without slowing down high-confidence automation.

Each extracted field is assigned a confidence score based on model certainty and contextual validation.

Example: If borrower name and loan amount are extracted with high confidence, they flow automatically. If a handwritten annotation introduces ambiguity, that specific field not the entire document is flagged for review.

Hitech i2i is designed to deliver extracted, validated, and incremental data within 24 hours, even at enterprise volumes. This predictable turnaround enables downstream analytics, publishing, and customer delivery pipelines to run on fixed schedules.

Hitech i2i supports incremental data delivery using APIs, FTP/SFTP, or custom connectors.

Example: If only 5,000 new or updated records are processed today, only those changes are delivered avoiding full dataset refreshes and reducing downstream processing load.

Yes. Every extracted and calculated field includes audit trails, linking it back to Source document, Page and location, Confidence score, Applied business rules (for calculated fields). This is critical for compliance, dispute resolution, and customer trust.

Yes. Hitech i2i is designed not just for extraction, but for building analytics-ready and monetizable datasets. Data platforms use Hitech i2i outputs directly in property intelligence APIs, valuation and risk models, portfolio dashboards, title and ownership products.

No. Hitech i2i integrates into your existing pipeline and enhances it by reducing manual preprocessing, rule-based extraction, and downstream cleanup. Most customers see Hitech i2i as the intelligence layer that feeds cleaner, more reliable data into their existing systems.