Vantor Wins NGA Luno B Contract to Deliver Automated Orbital Intelligence on Space Objects

Award marks Vantor’s third win under the Luno program and broadens its partnership with NGA across multiple domains, with Vantor now delivering near real-time intelligence from space to ground

WESTMINSTER, Colo.--(BUSINESS WIRE)--Vantor, the leading provider of unified spatial intelligence from space to ground, has been awarded its third National Geospatial-Intelligence Agency (NGA) Luno contract to provide NGA and other U.S. Government agencies automated, near real-time orbital intelligence of high-interest objects in space.

Under the $2.3 million contract, Vantor will utilize its high-resolution imagery of space objects, also known as non-Earth Imagery (NEI), to deliver intelligence on priority objects in low Earth orbit, including providing alerts when anomalies are present. The analysis will be largely automated, marking a significant step forward in eliminating manual processing and accelerating timely and actionable insights for Space Domain Awareness.

“In a contested domain like space, awareness is everything,” said Susanne Hake, Executive Vice President & General Manager, U.S. Government at Vantor. “Still, it’s the one domain where exquisite visual intelligence is extremely hard to come by, creating literal and figurative blind spots. Our NEI capabilities are one of the few technologies that can provide high-resolution visual intelligence of objects in space, providing intelligence analysts and decisionmakers with a deeper understanding of the behavior and intent of high-interest space objects—a decisive edge in an increasingly complex environment.”

Vantor’s orbital intelligence capabilities can provide insights into a space object’s features, health, velocity, and movements, including whether an object is changing orbit—a situation that could endanger the safety of U.S. assets in space. Vantor satellites can capture images of other spacecraft at an industry-leading resolution of less than 10 cm from hundreds of kilometers away, making it possible to quickly characterize those space objects and determine their health and status.

This award marks the third win for Vantor under NGA’s Luno program. Vantor previously announced a Luno contract to automatically detect land use land cover change at global scale, enabling NGA to anticipate where maps and their features may require updates. And in June, Vantor was awarded a Luno contract to deliver AI/ML-generated object detection services to identify assets across air, maritime, land, and rail domains; determine counts at specified locations; detect trends and anomalies; and perform advanced spatial and temporal geospatial intelligence analysis.

“These awards reflect the core of Vantor’s mission—to deliver real-time intelligence faster than the speed of threat, from space to ground,” said Hake. “By integrating our persistent monitoring, change detection, and space-domain awareness capabilities, we’re empowering our partners to understand and act on threats across every domain, before they emerge.”

The Luno program—made up of Luno A and Luno B—is part of NGA’s ongoing efforts to execute an agile acquisition strategy that unlocks the capacity and innovation of the commercial geospatial industry.

About Vantor

Vantor is forging the new frontier of spatial intelligence to unlock a more autonomous, interoperable world. We give decision makers and operators the power to build a unified intelligence picture, delivering the clarity they need to navigate what’s happening now and shape what’s coming next. We fuse data from the world’s most capable imaging satellites with real-time sensor feeds from space, air, and ground to create an AI-ready digital twin of Earth. Our spatial intelligence platform automates every part of the cycle—from tasking to collection to production—to update and analyze this foundation at the pace of change. Our products drive deeper mission-critical insights and connect the next generation of autonomous systems across the defense, intelligence, and commercial landscape.