Real-world records for models that have to be right.

Valuation models, real estate assistants, document extraction and forecasting engines need training data with provenance. We package ours with documentation, PII handling and license terms written for model training.

We build from production files rather than scraped text, which means labels come from ground truth: the sale price on the deed, the license status from the regulator, the permit type from the city. Evaluation sets are held out by time so a model is scored against the future, not the past.

Plays that work

Play	Data behind it
AVM training Transactions, characteristics, permits and listings by parcel	Real Estate Transactions + Property Records + Building Permits
Document extraction Deed and mortgage text with structured labels	AI Training Data: Real Estate
Assistant grounding Question-answer pairs grounded in license and property records	AI Training Data + Real Estate License Data
Entity resolution Labeled person and company match pairs	Identity Resolution + Global Professional Profiles