In a recent conversation, Peter Wilczynski (Chief Product Officer at Vantor) met with Muthu Kumar (Geoawesome) to discuss the recent rebranding of Maxar to Vantor and what it means for the future of spatial intelligence.
The takeaway: operational clarity demands more than imagery alone. Modern missions require data fusion across multiple sensors, AI-accessible platforms that process at scale, and intelligence systems that work end-to-end across the TCPED (tasking, collection, processing, exploitation, and dissemination) cycle. Vantor was built to solve exactly that.
Key topics of the conversation:
Why Maxar became Vantor
Vantor represents a reimagination of a company that evolved through DigitalGlobe, GeoEye, and Maxar. The rebrand focuses on geospatial software that builds on top of data, orchestration of sovereign assets and multi-source constellation collection, and end-to-end spatial intelligence rather than isolated data products.
Most importantly, Vantor emphasizes applying artificial intelligence across the entire tasking-collection-production-exploitation-dissemination (TCPED) cycle—compressing years of technology development into a cohesive vision that customers and employees can understand.
From exquisite imagery to integrated spatial intelligence
The transition from traditional satellite imagery to comprehensive spatial intelligence required years of technology maturation, but also requires being truly customer-centric. The geospatial industry historically relegated itself to focusing on where data came from rather than how the data would be integrated together – on sensing rather than reasoning.
Vantor's approach recognizes that effective situational awareness requires integrating data from sensors on the ground, in buildings, underwater, and in space—anywhere with a spatial component.
Tensorglobe simplifies access to massive amounts of geospatial data
Tensorglobe™ represents the evolution of a digital globe concept for AI systems. Where the original idea behind Vantor's predecessor company DigitalGlobe was to make the physical world accessible through computer screens, Tensorglobe makes it accessible to AI systems that communicate natively in tensor-based representations of information.
The Tensorglobe platform provides a unified representation where all data is processed into normalized 2D, 3D, and vector formats—spatially aligned and temporally synchronized. Tensorglobe compresses exponentially growing data volumes into a logical, three-dimensional Earth representation that isn't growing exponentially—it's just getting richer and higher fidelity.
Analysts access one interface instead of wrestling with files, file systems, and complex processing pipelines.
The future of AI, foundation models, and interoperability
Modern AI architectures are shifting toward remote sensing foundation models that can process multiple data sources simultaneously. This addresses a critical challenge: the fracturing of the information ecosystem.
Vantor's opportunity lies in grounding exponentially growing data into a stable, logical representation accessible to both AI systems and human analysts. Vantor's vision centers on interoperability by providing a global scaffolding that others can build upon through commercial partnerships with Umbra, Satellogic, and other providers to fuse multi-source data.
The goal isn't to compete with drones or ground sensors, it's to recognize that every sensor offers unique value. Tensorglobe shifts the framework from competition to integration, ensuring every pixel finds its proper place in a comprehensive spatial intelligence system.
Meeting the moment
Vantor's transformation reflects recognition that product vision must meet technological maturity. Today, with advanced AI systems and massive satellite constellations, the moment has arrived.
Vantor is positioning itself not just as a satellite imagery provider, but as the platform enabling end-to-end spatial intelligence for an AI-driven future.