A Data Partner Built for Modern Enterprises.
High-quality places data, delivered with the flexibility & transparency to build applications that thrive in the real world.
What Sets SafeGraph Apart
Premium Places Data That’s All
SafeGraph focuses on one thing: delivering high-quality global places data that supports accurate analysis, reliable location-based features, and long-term growth.
Flexible Delivery and Pricing
Ready-to-use data delivered to the environment of your choice. Flexible pricing and usage terms give teams control without added complexity.
Transparent Documentation
Monthly updates clearly outline what data is collected, cleaned, and processed, so accuracy and coverage are never in question.
Trusted by Leading Innovators
We never expected the dataset to be turnkey with our existing systems and datasets from day one—there’s always a bit of work to get it to where you need it to be, we’ve been blown away by SafeGraph’s proactiveness in helping us work through any issues we’ve encountered.”
Andy Stevens
Chief Data Officer, Clear Channel Europe
We’re Committed to Solving Your Data Challenges
Our team collaborates with you to configure a places data license configuration tailored to your use case. We can source data by request to serve your evolving needs and enhance our dataset. A dedicated team member provides support, overseeing onboarding, troubleshooting, and regular check-ins.
Trusted by Leading Innovators
When vetting our options, we had two choices. Either we built this capability in-house from scratch or we worked with a partner like SafeGraph who could tick all of the boxes.”
Travis Riedlhuber
Managing Director at RainBarrel
We Specialize in POI Data So You Don’t Have To
Our places data is meticulously sourced, cleaned, tagged, and delivered ready to use. Teams can integrate it with confidence and focus on building better user experiences, insights, and location-driven products.
As a geospatial data partner and location data platform for business, SafeGraph helps teams move faster without managing data complexity.