The context layer for commercial real estate.

CRE decisions live at the intersection of a property, the businesses on it, and the neighborhood around it. Amalgament joins all three, so a broker, developer, or acquisitions team can ask a real question instead of stitching parcels, licenses, and permits together by hand.

Property, business, and place in one graph

A commercial parcel is only interesting in context: who owns it, what operates there, what licenses and permits it holds, what is being built nearby, and how the demographics are trending. Amalgament connects those, so “find commercial properties with a liquor license and recent permits in Denver” is a single query.

See what changed, and what's coming

Ownership changes, new permits, new businesses, and development activity are events, not static fields. Amalgament attaches each to the property and the entity, so you can answer “what changed at this property over the last five years” and spot momentum before it is obvious.

Raw material for your model

Amalgament supplies the public-record and geographic context layer; combine it with your proprietary comps and traffic data. It is the substantial base a site-selection or acquisitions model sits on, not another listings feed.

What you can ask

Property records API · Building permits API · Business licenses API

Common questions

Who is this for?

CRE brokerages, developers, acquisitions teams, REITs, appraisers, lenders, and site-selection firms that need property, business, and neighborhood context joined together.

Is this listings data?

No. It is the public-record and geographic context behind a property, owner, businesses, permits, liens, and surroundings, which you combine with your own comps and market data.

Can I scope queries to a market?

Yes. Records carry jurisdiction, so you can filter to a state, county, or place and pull everything joined within it.

More solutions: Due diligence · KYB & AML · Sales intelligence · Property intelligence · Competitive intelligence