All verified mentions of this organization in source documents.
Vantor can fine-tune and retrain Google Earth AI models using a customer’s sovereign data combined with Vantor satellite imagery and third-party commercial imagery.
Vantor is the first spatial intelligence company to deploy Google Earth AI models in air-gapped government environments.
Vantor’s imaging satellite constellation continuously refreshes the spatial foundation and can revisit the same location on Earth up to 15 times per day.
The combined use of Google Earth AI imagery models and Vantor satellite imagery enables detection of objects of interest, identification of patterns of change, and description of activity with operational context.
Vantor’s automated spatial fusion and production capabilities combined with Tensorglobe allow organizations to build analytics pipelines and process multi-sensor data in near real-time.
Emily Lalande is Product Marketing Manager at Vantor and previously worked at Ursa Space.
Vantor’s proprietary change detection models can identify shifts in buildings, roads, vegetation, and other land cover elements across diverse sensor types and data sources.
Under the Luno A contract, Vantor is using its commercial Site Sentry capability, a global-scale persistent monitoring solution that enables customers to monitor hundreds of locations simultaneously.
The National Geospatial-Intelligence Agency awarded a $5.3 million Luno B contract to Vantor to detect and deliver automated insights on real-time changes to the Earth’s landscape to strengthen NGA’s global mapping and intelligence missions.
Vantor’s virtual constellation capabilities enable the company to collect, process, analyze, and disseminate intelligence from multiple space-based sensors to create an AI-ready living globe for large-scale global monitoring and anticipating map updates.
Vantor’s insights will support NGA missions including natural and man-made disasters, regional conflicts, and humanitarian assistance by providing on-demand change detection.
Vantor was formerly known as Maxar Intelligence.
Vantor will use AI-powered analytics and integrate data from multiple space-based sensors, including its own imaging satellites and third-party electro-optical and synthetic aperture radar satellites, to identify changes to the Earth’s physical terrain under the Luno B contract.
In June, Vantor received an NGA award under Luno A to deliver AI/ML-generated object detections to support persistent monitoring.
The insights produced under the Vantor Luno B contract will drive updates to NGA’s Land Use Land Cover classification system.
Vantor (formerly Maxar Intelligence) won a $5.3 million contract from the U.S. National Geospatial-Intelligence Agency (NGA) to support mapping and intelligence activities for global terrain-change detection as part of NGA’s Luno program Phase B.
Vantor will integrate its own satellite data with data from multiple other satellite constellations using an AI-based analytics platform to rapidly identify physical terrain changes on the Earth's surface.
Vantor’s analysis products will be used to update NGA’s Land Use Land Cover (LULC) classification system to capture changes such as buildings, roads, and vegetation worldwide.
Vantor (formerly Maxar Intelligence) was awarded a $5.3 million contract by the National Geospatial-Intelligence Agency on February 5, 2026 under the Luno B program.
Susanne Hake is head of Vantor’s U.S. government business.