Altitude Partners with SafeGraph to Integrate Points of Interest Intelligence

SafeGraph is a leading provider of curated geospatial and points of interest (POI) data, trusted by enterprises, developers, and analysts across retail, real estate, transportation, and beyond. Their global database includes millions of verified POI records with brand attribution, precise building footprints, place geometries, and operational metadata. Altitude by Geotab selected SafeGraph because of the quality, accuracy, and breadth of their POI data — attributes that are essential when pairing location context with high-fidelity commercial vehicle movement data. Together, the two datasets create a level of competitive intelligence that neither could deliver alone.

Consumer location platforms are built on smartphone-derived data, which means they capture general population movement — not commercial vehicle activity. They cannot distinguish truck types, vehicle weight classes, or vocational categories, and they were not designed to answer questions about freight and fuel network performance. Altitude’s data is sourced directly from over 5 million commercial vehicles, reflecting actual truck stops with attributes like dwell time, vehicle class, fleet size, and vocation type. When combined with SafeGraph’s POI context, operators get site-level competitive benchmarking that is grounded in commercial vehicle reality, not consumer estimates.

The integration will enable users to query any location within Altitude and see performance data for that site alongside competitor locations within a defined trade area radius. Available metrics will include monthly stop volume, fuel type distribution, average dwell time, heavy/medium/light vehicle ratios, top vocation categories (e.g., long haul, regional, for-hire, private fleet), and fleet size indicators. Outputs are analyst-ready and queryable by brand, distance, and geography.

The primary audience includes petroleum and gas network operators (such as truck stop chains and fuel retailers), logistics real estate analysts, transportation planners, and any organization that needs to understand how commercial vehicle traffic flows through a competitive landscape. The insights are particularly valuable for operators making site investment decisions, evaluating competitive positioning, or assessing market-wide trends versus site-specific performance issues.

Altitude uses a combination of GPS dwell detection and POI geometry matching to attribute commercial vehicle stops to known business locations. Approximately 50% of commercial vehicle stops are attributable to traditional POI locations — a figure that accurately reflects the reality of commercial trucking, where a significant portion of stops occur at private distribution facilities, construction sites, residential delivery addresses, staging areas, and other non-traditional locations that do not appear in standard POI databases. Altitude only attributes stops when confident in the match, ensuring that the data customers receive is defensible and consistent for benchmarking purposes.

Altitude by Geotab will begin customer pilots in early 2026, with general availability expected later in the year. Interested customers are encouraged to contact Altitude to learn more about early access opportunities.

Altitude by Geotab operates in accordance with applicable data privacy regulations and industry best practices. Commercial vehicle movement data is aggregated and processed in ways that protect customer fleet confidentiality and individual driver privacy. SafeGraph’s POI data is sourced from publicly available and licensed business location information. Neither dataset contains personally identifiable information about individual drivers, fleets or consumers.

This capability is additive. It extends Altitude’s existing commercial vehicle dataset with external POI context, enabling a new category of competitive intelligence insights. Customers will continue to have access to all existing Altitude data products and APIs, with the SafeGraph POI integration unlocking new use cases around site-level benchmarking and trade area analysis.