About Map AI
Map AI is a location intelligence platform that provides complete coverage of the US territory, nationwide. It turns public statistics, traffic counts, points of interest, and other relevant data into a map you can actually read, as well as into answers: how a neighborhood — down to the 1-mile cell — scores on health, income, education, housing, and commuting; who lives and drives inside a trade area that you designated; how two addresses compare, and what revenue a location could realistically support.
The product is operated by Ticon, Inc., a traffic data analytics company whose products include TrafficZoom, C-Site Insight, as well as Traffic Intelligence reports. Ticon tools provide comprehensive, joint analysis of key transportation, demographic and socioeconomic metrics, supporting evidence-based evaluation of transportation and infrastructure management measures, including signal timing optimization and intersection improvements, with real-world applications demonstrating corridor delay reductions of up to 50%.
What Map AI does
One map, six ways to read a location:
Interactive map
Explore over 100 indicators across the US at State, County, 5-mile and 1-mile cell levels — population, income, housing, health, crime, schools, amenities and traffic.
Trade area
Draw a drive-time or radius area around any address and read the data for exactly that encompassing shape.
Sales forecast
Identify your customers, visit frequency and average check to estimate yearly revenue for an address, adjusted for nearby competition, with a 5-year audience trend.
Compare locations
Put two or more addresses side by side on the same trade area and see which one has higher revenue potential, stronger purchasing power, and less competition.
Reports
Neighborhood and location assessment reports as PDF — the same figures, laid out to share with a client, a partner or a landlord.
Map AI chat
Ask questions about an area in plain language and get answers from the data behind the map.
Who uses it
Homebuyers and renters
Compare neighborhoods objectively before visiting, using 50+ indicators like schools, crime, income, and demographics — side-by-side, with up to 1-mile precision.
Real estate professionals
Back client conversations with named sources and hard figures instead of adjectives, and compare listings within the same trade area in seconds.
Businesses choosing a site
Screen addresses for trade area demand, traffic, competitors, and revenue potential before signing a lease, using 25+ business-specific data points.
Analysts and educators
Access US area statistics without manual assembly — explore on the map, export to Excel, or pull API-ready outputs for research and teaching.
Where the data comes from
Every metric on Map AI comes from a verified source. We do not generate demographic data ourselves — we collect it from multiple sources, cross-verify and filter it, normalize it to a common geography, and put it on a map.
Public datasets
American Community Survey (US Census Bureau), Area Health Resources Files, CDC Local Data for Better Health and Environmental Public Health Tracking, National Center for Education Statistics, Civil Rights Data Collection, FBI NIBRS, USALEEP life expectancy, HUD and the Bureau of Labor Statistics.
Traffic and mobility
Annual average daily traffic by road, vehicle miles travelled, road density and daily visitors to an area — Ticon's own traffic intelligence, the data behind TrafficZoom.
Places and geography
OpenStreetMap and Mapbox for competitors and points of interest, parking and transit, and for drive-time trade areas calculated with typical traffic.
The full list — which metric comes from which source, and which year of data it reflects — is on our Data sources page.
Read our methodologyWho builds Map AI
Map AI grew out of Ticon's traffic research. The people behind it have spent years measuring traffic, testing data accuracy and helping businesses choose locations.
Gregory Brodski, ScD, PhD
CEO, Ticon
Gregory holds a Doctor of Science and a PhD in mechanical engineering. His work centers on traffic flow modeling, traffic volume estimation and data verification, the methods behind the traffic layer in Map AI. He co-authored Ticon's studies on traffic data accuracy, trade area analysis and retail visitor rates.
Arthur Stepanyan
COO, Ticon
Arthur works with retail and fuel businesses on site selection, from first-time openers to multi-unit operators. He co-authored Ticon's studies on store performance and trade area analysis, and makes sure Map AI answers the questions business owners actually ask.
Tim Oshchepkov
CTO, Map AI
Tim holds bachelor's and master's degrees in software engineering from ITMO University. He built the data pipeline and the geographic weighting behind every number on the map, and co-authored Ticon's study on verifying new traffic data sources.
Anna Hranich
VP of Marketing and Growth, Ticon
Anna leads marketing and growth at Ticon. She co-authored Ticon's studies on retail visitor rates and on the demographics of the people in a traffic flow.
The company
Talk to the people behind the data
Want to know how a number was built, whether Map AI fits your project, or what a custom study or traffic count would involve? Arthur works directly with business owners and analysts, and answers these questions personally.
Arthur Stepanyan, COO, Ticon
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