From satellite feeds to frontline sensors, modern militaries are increasingly relying on AI to turn massive streams of data into actionable insight in contested environments.
Building on this trend, CGI and Vantor are collaborating on next-gen spatial intelligence and navigation tools that analyze multiple data sources to support defense, national security, and environmental missions.
The effort will merge CGI’s AI-driven analytics, edge computing, and visual processing with Vantor’s spatial intelligence, geo-positioning, and GNSS-resilient navigation tech, including its Tensorglobe platform and Raptor system.
Together, the tools aim to deliver precise location data, real-time analytics, and operational navigation even in GPS-denied or signal-degraded areas.
A key focus will be integrating near-real-time satellite feeds into digital command-and-control networks to improve situational awareness and accelerate operational decision-making.
The companies plan to explore opportunities across the UK, Europe, and allied markets.
“We are bringing together complementary strengths in AI-driven analytics and secure, scalable access to satellite data,” said John Hanley, Senior Vice-President for Consulting Services, Secure Mission Critical Solutions, at CGI in the UK.
Anders Linder, General Manager of Vantor International, added: “Our combined capabilities will help defense and civil government customers derive actionable intelligence faster and more securely, supporting safer operations and smarter use of global data assets.”
Building a Real-Time Picture of the Earth
Vantor’s Raptor and Tensorglobe tackle a growing challenge: navigating, mapping, and interpreting complex environments when GPS is unreliable or data comes from multiple sources.
Raptor is a vision-based software suite for drones and unmanned systems that removes dependence on GPS.
Using onboard cameras and detailed 3D terrain data, it calculates aerial position, aligns live video with mapped geography, and extracts precise ground coordinates in real time.
Its modules support sensor fusion, onboard positioning, and operator tools for identifying targets without extra hardware.
Tensorglobe is a broader spatial intelligence platform that connects satellites, drones, and ground sensors into a single data environment.
It automates satellite tasking, turns imagery into 2D/3D maps, and manages secure data flows for AI processing.
The goal is to create a continuously updated digital model of the Earth, supporting mapping, monitoring, and operational planning across multiple domains.
