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ANALYSIS-READY LOCATION DATA

The economy
has layers.
We map every one.

Explore location and points-of-interest datasets with documented global coverage, CSV samples, regional pricing and standardized coordinates. POI Data is available now; other economic data layers are coming soon.

Explore POI datasets Review methodology

Layer illustrations and mock records are illustrative, not customer evidence or verified dataset records.

The layers we map

Places

Points of interest in 248 countries on real building footprints: cafés, grocers, clinics, gyms and offices, each with a category. Plus short-term rental listings with nightly prices and estimated occupancy in 112 markets worldwide.

entity_nameaddresslatitudegeometry
Sunglass Hut · 204 Thames St, Newport · POLYGON((…))
Live: POI Data, Airbnb Listings · Coming soon: Location Sentiment

HOW WE BUILD IT

From a messy signal
to a row you can trust.

Illustrative pipeline using a fictional company, Northwind Labs. See the POI methodology for the currently available product.

  1. 01

    Collect

    Raw records arrive from registries, open data sources and partners.

    NORTHWIND LABS LLC 1420 peachtree st ATLANTA, Ga. 30309 ph 404.555.0142
  2. 02

    Normalize

    Names, addresses and regions are parsed to one standard.

    entity_name: Northwind Labs city: Atlanta state_code: GA zip: 30309
  3. 03

    Verify

    Checked against other sources and matched to shared IDs.

    lat 33.7900 · lon -84.3857 geometry: building_footprint status: active
  4. 04

    Deliver

    Delivered as a clean CSV, one schema for every slice.

    Georgia · CSV download -> 1,032,756 rows -> 11 columns, same in every region

BY THE NUMBERS

LAYERS OF THE ECONOMY
5

places are live today; companies, movement, trade and markets are next, all on shared IDs

DATASETS IN THE CATALOG
12

2 live, 10 coming soon

DATA SOURCES
Triangulated

places merged from several open map and public place sources, then de-duplicated

REFRESH
Quarterly

every live dataset is refreshed each quarter

SMALLEST PURCHASE
1 slice

a single state or country, never the whole catalog

WHAT WE BELIEVE

Three rules we don't bend.

Show it before you sell it.

Every dataset has a public schema, fill rates and free sample rows. If it doesn't hold up in a preview, it doesn't ship.

One standard for every layer.

Shared IDs, normalized states and WGS84 coordinates, so companies, places, movement and trade join without cleanup.

Pay for the slice you use.

One slice at a time, like a single state or country. Coverage grows with your question, not with our price list.

WHO IT'S FOR

Different teams,
same ground truth.

Find every account in your territory, not just the ones in your CRM.

Pull every active business in the regions you sell into, with coordinates to plan routes and coverage.

SELECT entity_name, city
FROM poi_data
WHERE state IN ('GA','AL')
  AND status = 'Active'
POI Data LiveBusiness Firmographics SoonBusiness Contacts Soon

OUR STORY

Built by people who were
tired of cleaning data.

  1. Chapter 01 · The problem

    Weeks lost to cleanup

    Data teams were buying whole countries of data, then spending weeks fixing names, addresses and duplicates.

  2. Chapter 02 · The fix

    Cross-checked across sources

    Every record is cross-checked across sources and de-duplicated before it ships, whatever the layer.

  3. Chapter 03 · The standard

    One schema per layer

    Shared IDs and normalized states so every dataset joins with the next.

  4. Chapter 04 · Today

    POI Data is live

    148.6M POIs across 248 countries, 11 columns, sold one state or country at a time.

  5. Chapter 05 · Next

    Every layer, joined

    Companies, movement, trade and markets on the same IDs.

EXPLORE THE DATA

Inspect it
before you buy it.

Coverage, schema, method and limits are all public. Start wherever your question is.

Shop Coverage and regional pricing Places, fill rates and the price for every country and US state. Guide Schema and sample records The 11 delivered columns, their fill rates and how to read them. Method How POI Data is assembled Sources, de-duplication, building matching and known limits. Guides Buyer guides and use cases Licensing, choosing a dataset, site selection and territory planning.

LET'S BUILD ON IT

Bring the question.
We'll bring the rows.

Tell us what you're trying to answer. We'll show you which layers, regions and columns get you there.

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