US County Deed Parser
From 70–80% accuracy to 95%+ across 240 counties.
The problem
A US property-intelligence operator was parsing 7,000–10,000 deed documents per day across 240 counties, each with unique formats. The incumbent vendor's extraction efficiency peaked at 70–80%. Every gap was filled by manual back-office labor, driving rework, cost volatility, and a ceiling on daily throughput.
The system we built
A custom ML-based document intelligence pipeline built on the TerraEdge AI Framework. End-to-end from upload to structured output. A dedicated TerraEdge AI team tuned the models per county, with MLOps for continuous retraining and drift control. Our innovation team layered in process-level optimization.
What this means commercially
At the original 70–80% extraction baseline, the operator carried a structural back-office cost line — manual rework absorbing 20–30% of every batch. The 95%+ baseline removes that line entirely while compressing daily throughput from 7,000 to 20,000+ deeds. Payback on the original POC: under 4 months. Three years in, the cost displaced has compounded into a multi-million-dollar operational saving — and the operator now publishes operational SLAs to its end clients that it couldn't have quoted before.
The outcome
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Not ready for AI yet? Want to chat about possibilities?
No pitch, no pressure. Just a conversation about where AI could fit, or where it can wait. Bring your skepticism — we'll bring ours.
Can we reproduce this outcome on your data?
A 4-week POC with signed KPIs. If it clears, we scale. If it doesn't, you keep the architecture blueprint.