Study one location
Give it a business type and a US address. Agents assemble a full market study: competitors, demographics, trade area, and scored expansion sites.
“How does this location stack up?”
I build proprietary systems that automate the assembly with AI, so your team can run forty markets instead of one: same sources, same rigor, same deliverable, plugged into the tools you already use instead of a PDF nobody opens.
A business type and an address. That's the whole input.
The system pulls competitor sets, demographics, income modeling, and scored site rankings in parallel, against the data sources you already license.
Maps, scored locations, exportable geodata, and a generated presentation, in your format, in your CRM, GIS, and proposal tools.
Not the whole engagement. You still bring the judgment, the client relationship, and the recommendation. What the system collapses is the assembly: pulling the data, building the competitor set, scoring the sites, drafting the deliverable.
That's the part that forced you to take market studies one at a time. It doesn't have to be the constraint anymore.
Most AI research tools hand you a chat window and a summary. I build a proprietary pipeline that connects to your CRM, GIS layers, proposal template, and warehouse, on the data sources you already license. When the engagement ends, you own the software.
Built for marketing agencies, design-build firms, retail and franchise expansion teams, and site-selection consultancies: anyone whose team rebuilds the same class of analysis for a new market, over and over.
Two working slices of the system run right here against public data, in under a minute each. No deck, no signup: pick the question you have.
Give it a business type and a US address. Agents assemble a full market study: competitors, demographics, trade area, and scored expansion sites.
“How does this location stack up?”
Name a product and a city. It resolves the county, finds who already sells it, and ranks the neighborhoods a new vendor is missing.
“Where is this product underserved?”
How accurate are the figures?
Every figure traces to a named source shown in the study: Census ACS for households and income, FDIC Summary of Deposits for bank branches, OpenStreetMap for local listings, and drive-time geometry from the routing service behind the trade area. The public demo uses those shared sources. In a client build, your licensed data plugs into the same pipeline and the output gets sharper without changing your workflow.
Whose data does the system run on?
Public sources plus whatever you already license. Your proprietary data stays yours and makes the output sharper.
Do we own what you build?
Yes. The system runs in your environment and it's yours when the engagement ends.
The fastest way to see whether this fits is to watch a study on a market you already know. No deck, no discovery call first.