From AI scraping to AI matching — building the data pipeline for competitive analysis
AI scraping collects cleaner data than rule-based crawlers. AI matching processes it beyond what string comparisons allow. Here is how the full stack works.
Extracting structured data from home inspection reports and insurance documents
Inspection reports and insurance documents are PDFs full of structured data — room-by-room condition ratings, damage photos, repair estimates, coverage details. AI extraction turns them into matchable records.
Matching real estate listings with photos: how AI reads property images across platforms
Addresses differ, MLS numbers don't transfer, and square footage disagrees. Listing photos show the same kitchen in both datasets. AI extraction turns property images into matchable attributes.
Deduplicating real estate CRM contacts against acquired lead lists
Brokerages spend thousands importing lead lists only to re-contact existing clients and miss routing accuracy. AI matching identifies duplicates that name-and-email matching misses — including changed contact info and nickname variations.
Recovering lost skip trace matches with AI: a guide for wholesalers
When you merge skip-traced contact data back to your property owner list, a 30% non-match rate is common. Here's why it happens and how AI-powered matching recovers contacts you're currently leaving behind.
Deduplicating MLS listings across multiple feed sources
Real estate portals and brokerages ingesting data from multiple MLS feeds routinely encounter the same property listed twice with conflicting details. AI-powered deduplication keeps inventory counts accurate and analytics trustworthy.
Matching rental applicants against tenant history records
Property managers lose thousands to missed eviction flags and fair housing violations caused by poor record matching. Here's how AI changes the accuracy equation for tenant screening.
Reconciling property owner names for HOA and tax billing
Trust transfers, LLC ownership, and inherited properties silently break HOA and municipal billing rosters. Traditional fuzzy matching can't bridge the gap — but AI can reason across it.
List stacking for real estate investors: finding motivated sellers with AI
How real estate wholesalers and investors use AI-powered record matching to identify property owners who appear on multiple distress signal lists — and why those owners convert at dramatically higher rates.