Picking the next location, a store, a clinic, a warehouse, means reading a place: who is there, what is nearby, and where it is heading. Amalgament supplies the public-record and geographic context so a site-selection model can rank locations instead of guessing.
Population and demographics, existing businesses and competitors, permits and development activity, property characteristics, and local economic signals, joined by place. Amalgament does not provide every proprietary input, but it provides the substantial public-record context layer a site-selection model sits on.
Ask for the places that fit a demographic and competitive profile, then pull the underlying signals to score them. “Find the best locations for a new store” becomes a query over real, joined data.
Layer Amalgament's public-record context with your sales, traffic, and real-estate-cost data. That combination is what turns a generic location feed into a defensible site-selection model.
Property records API · Building permits API · Commercial real estate
No. It is the public-record and geographic context layer; you combine it with proprietary sales, traffic, and cost data to complete the model.
Retail, franchise, and services companies, plus site-selection firms, that need demographics, competitors, permits, and development joined by place.
Yes. Records carry geography, so you can pull everything joined within a place, county, or region.
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