SafeGraph delivers a comprehensive, regularly updated point‑of‑interest (POI) dataset, building‑footprint polygons, and geocoded address tables covering 35+ countries. The data includes detailed attributes such as place type, open/closed status, spatial hierarchies, and multi‑script address components, and is provided in ready‑to‑use formats via bulk S3, Snowflake, or marketplace integrations. This enables developers, analysts, and logistics teams to build reliable location‑aware applications, perform accurate market analysis, and conduct precise routing without extensive data cleaning.
Funding
$60.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
+1Founders
Product
Problem
Organizations that rely on location intelligence often struggle with fragmented, outdated, or incomplete point‑of‑interest (POI) and address datasets, leading to inaccurate routing, poor market analysis, and unreliable user experiences. Maintaining high‑quality polygon geometry and global address coverage internally requires extensive engineering effort and constant validation.
Solution
SafeGraph provides comprehensive, regularly updated POI, building‑footprint polygon, and geocoded address datasets that serve as a single source of truth for location intelligence. The data includes detailed attributes such as place type, open/closed status, spatial hierarchies, parking information, and multi‑script address components. SafeGraph delivers the data in ready‑to‑use formats (WKT polygons, flat address tables) via bulk S3 downloads, Snowflake integration, or marketplace partners, eliminating the need for extensive preprocessing. By combining proprietary machine‑learning pipelines with human verification, the datasets maintain high accuracy across 35+ countries and millions of global locations. This enables developers, analysts, and logistics teams to build reliable applications, perform precise visit attribution, and conduct robust market and routing analyses without the overhead of data cleaning and maintenance.
Target Audience
Primary customers are retail site‑selection teams, logistics and routing providers, SaaS platforms embedding location analytics, and data scientists building geospatial AI models.
Features
- POI dataset with over 0 M global points, including categories, geocodes, and real‑time open/closed status
- Building‑footprint polygon data in Well‑Known Text (WKT) format with spatial hierarchy and quality metrics
- Geocoded address database covering 35+ countries, supporting multi‑script formats and detailed field breakdowns
- Monthly updates and human‑verified quality checks to ensure current and accurate location information
- Delivery options via scheduled S3 bucket, Snowflake connector, or direct marketplace access (AWS, Snowflake, Databricks, ArcGIS, CARTO)
- Comprehensive metadata enabling precise proximity analysis, visit attribution, and spatial relationship queries