4 minute read•Updated 9:36 AM EDT, Wed April 9, 2025
Danish small satellite manufacturer GomSpace has announced a new partnership with Portuguese space tech firm Neuraspace to embed advanced space traffic management (STM) tools directly into its satellite operations software.
The collaboration brings together Neuraspace’s artificial intelligence-powered satellite tracking system with GomSpace’s Hands-Off Operations Platform (HOOP), an end-to-end solution designed to manage spacecraft autonomously from pre-launch through decommissioning.
“In practice, any maneuver that a HOOP user is planning can be screened against potential conjunctions or collisions in one go...This tight integration simplifies daily operations, reduces human error and saves both time and cost.” - Chiara Manfletti, Neuraspace CEO
A Smarter Approach to Crowded Orbits
As Earth’s orbits become increasingly congested, particularly in low Earth orbit (LEO) due to the exponential rise of megaconstellations like Starlink; the risk of in-orbit collisions continues to mount.
According to the European Space Agency, more than 34,000 objects larger than 10 centimeters are currently orbiting Earth, with thousands more expected to join them in the near future.
This partnership aims to directly tackle this growing threat by automating and enhancing satellite collision avoidance capabilities. Traditionally, satellite operators rely on a patchwork of outdated tools, public dashboards, and manually analyzed data from the U.S. Space Force’s Space-Track Conjunction Data Messages (CDMs). This fragmented approach often requires hours of operator analysis and carries the risk of delayed or inefficient responses.
Neuraspace’s AI-driven STM engine processes inputs from public catalogs, dedicated sensor networks, and partnerships with ground-based telescope providers. The result is faster, more accurate conjunction warning; delivered in under an hour, according to the company, compared to the four to eight hours required using legacy systems.
Deep Integration, Not Just Data Sharing
“What makes the collaboration with GomSpace and its HOOP platform particularly significant is the depth and native nature of the integration...This is not just about connecting systems; it’s about embedding Neuraspace’s AI-powered STM capabilities directly into HOOP’s end-to-end automation environment.” - Chiara Manfletti, Neuraspace CEO
Through this integration, HOOP users will receive automatic conjunction alerts along with optimized, fuel-efficient collision-avoidance maneuver recommendations. The companies claim this will substantially reduce operational costs by streamlining analysis, minimizing manual inputs, and enabling more precise maneuver planning—leading to fewer and more efficient orbit adjustments.
From Manual to Autonomous Spaceflight
Founded in 2007, GomSpace has built more than 75 satellites and delivered over 10,000 subsystems globally. Its HOOP platform was developed to support the emerging need for scalable, autonomous satellite operations across growing fleets.
Operators can use STM services like Neuraspace’s independently, but doing so typically requires manually switching between tools, exporting and uploading data, and reconciling maneuver plans. The GomSpace-Neuraspace integration eliminates these workflow barriers.
“This is about taking the guesswork and manual labor out of conjunction management...With AI-driven tracking baked into the HOOP platform, operators can trust the system to flag risks and recommend the best responses—fast.” - GomSpace Spokesperson.
Avoiding a Space Traffic Jam
Concerns about in-orbit collisions are not just theoretical. Experts warn of the “Kessler Syndrome”; a cascade of orbital collisions that could render entire orbital regions unusable for decades. With more players launching satellites than ever before, effective STM is becoming not just a best practice, but a necessity.
A growing number of commercial players are entering the STM sector to address this problem. These include terrestrial radar firms like LeoLabs and emerging in-space tracking networks like Canada’s NorthStar Earth & Space. Neuraspace’s edge lies in fusing multiple data streams and applying machine learning to rapidly filter and prioritize threats.
“This level of responsiveness is key to ensuring satellite operators can act early and decisively,...It’s also a step toward making collision avoidance an invisible, automated layer of satellite operations—just like air traffic control for planes.” - Chiara Manfletti, Neuraspace CEO
With this integration, both companies are betting on a future where autonomous systems; not human operators.
