Assemble
Every layer on one map. Files, live databases, Esri Feature Services. Ask the Data Finder for what’s missing: "transmission lines in Bexar County" arrives styled and sourced in seconds.
Where site selection decisions get made
Screen candidates and score the shortlist, then put the live map in front of the people making the call. They open a link, not a PDF.
felt.com/map/parcels-and-properties-by-age
You’ve heard all three in a siting meeting
Who has the latest flood layer?
Every layer lives somewhere different: parcels with a vendor, demographics with the Census, flood zones with FEMA. Someone spends weeks collecting them before a single site gets screened.
Site analystIs this the current version?
The people making the call don’t open GIS. They see the analysis as PDFs and slides, so every question means another export, and the map on screen is already out of date.
Committee chairThat’s not how we scored it.
Real estate scores on demographics, engineering on constraints, finance on cost, each in its own spreadsheet. The same site comes back with three different answers.
Engineering lead
How site selection works in Felt
Screen
Fatal flaws first. Buffer transmission corridors, exclude wetlands and floodplains, filter by acreage and ownership. Felt AI runs it from plain English, so screening doesn’t wait on GIS bandwidth.
Score and compare
Join your internal data to the survivors and rank them on weighted criteria. Style the scores so the shortlist reads at a glance. Compare finalists side by side.
Decide
Share the map with a link. No license, no install, no training. "What about access from the north?" gets asked as a comment pinned to the parcel. The committee meets inside the map.
Retail site selection
Felt brings demographics, foot traffic, competitors and your own store performance onto one map, so you can draw drive-time trade areas around every candidate and compare the finalists side by side.
Felt AI made it easy to build the custom features that accelerate my site selection workflows.
The data
Demographics and income
Foot traffic and mobility
Drive-time trade areas
Competitors and co-tenants
Existing store performance
Available properties
Solar & renewable siting
Felt puts parcels, transmission, terrain and environmental constraints on one map, and Felt AI screens them in plain English: buffer the lines, rule out wetlands and floodplains, and work out the buildable acres on each parcel. Land agents run that themselves instead of waiting on the GIS team.
With Felt and Databricks, our site acquisition team was able to self-serve insights for the first time.
The data
Parcels and ownership
Transmission and substations
Slope and aspect
Wetlands, flood zones and protected lands
Interconnection queues
Land contacts and outreach status
Data center site selection
Data center sites start with power. Felt layers substation capacity and interconnection queues with fiber, water, zoning and environmental risk, so you screen on power first and weigh the rest on the same map.
The up front investment to build a custom solution that met our performance standards would have been massive.
The data
Substations and transmission capacity- Interconnection queue positions
Fiber routes and carrier hotels
Parcels and zoning
Water availability and rights- Flood, seismic, environmental constraints
Competing announced projects
Your data gets in without a fight
Every siting team asks the same question next: how does our data get in?
Bring it
Upload Anything. Shapefiles, GeoJSON, KML, geodatabases, GeoTIFF, DWG/DXF, spreadsheets, and most anything else GDAL reads.
Add by URL. Paste a link to a Google Sheet, an Airtable view, a hosted file, or an ArcGIS service, and turn on Live to keep it refreshing.
Find it
Global Library. Census demographics, boundaries, flood and drought risk, roads, and power plants: curated public data, sourced and dated, on every plan.
Internet Data Finder. Locates public datasets by plain-English request and adds them styled and sourced.
Connect it
Live connections. Postgres, Snowflake, BigQuery, Databricks, SQL Server, and Esri Feature Services keep internal data current on the map.
Work it
Felt AI. Runs spatial analysis conversationally: buffers, filters, joins, summaries.
API + Felt MCP server. For teams wiring siting into automated or agent-driven workflows.
Try Felt
Put your next site decision on a map
Free to start. Your committee never needs a license.