SUMMARY

"Neuraspace is a leading European space tech company dedicated to ensuring the long-term sustainability of space operations. With the rapid expansion of satellite constellations, the risk of orbital collisions has grown exponentially. Neuraspace addresses this challenge by providing an advanced, AI-powered Space Traffic Management (STM) platform.

The company's value proposition lies in automating and optimizing space situational awareness. By analyzing massive datasets, Neuraspace delivers highly accurate, real-time collision risk assessments and automated maneuver suggestions. This drastically reduces false alarms, minimizes operational costs for satellite operators, and protects critical space assets. Ultimately, Neuraspace empowers operators to make faster, safer, and data-driven decisions, paving the way for a secure and sustainable safe space ecosystem."

PROBLEM

"The exponential growth of commercial satellite constellations has cluttered Earth's orbit, significantly increasing the risk of catastrophic space debris collisions. Currently, satellite operators rely heavily on manual legacy systems to process millions of Conjunction Data Messages (CDMs) weekly.

This outdated approach creates a massive bottleneck. It produces a high rate of false alarms, which leads to unnecessary, costly satellite maneuvers that waste valuable fuel and shorten mission lifespans. Furthermore, manual analysis cannot scale to handle the complex traffic of tens of thousands of new satellites. Without automated coordination, operators struggle to communicate effectively during high-risk intersection events. This operational gridlock threatens the long-term safety, commercial viability, and sustainability of the entire global space economy."

SOLUTION

"Neuraspace offers an advanced, AI-powered Space Traffic Management (STM) SaaS platform that automates and optimizes space operations to prevent satellite collisions.

How it works: The platform continuously ingests massive space domain awareness datasets, tracking data, and Conjunction Data Messages (CDMs). Utilizing machine learning and physics-inspired algorithms, it filters out noise to perform real-time, highly accurate conjunction screening. When a critical risk is verified, the system automatically calculates and suggests optimal, fuel-efficient avoidance maneuvers. To solve industry fragmentation, the platform features a collaborative space traffic tool that instantly opens automated, real-time communication channels between different operators during high-risk conjunctions, enabling seamless coordination.

The Impact: This technology transforms orbital safety from a reactive manual chore into a proactive, scalable system. For satellite operators, the impact is immediately measurable: it reduces false alerts by up to 80%, cuts manual operational workloads, saves critical onboard fuel, and extends satellite lifetimes. On a global scale, it safeguards billions of dollars in space assets and prevents catastrophic chain-reaction collisions (Kessler syndrome). By driving automated coordination, the platform ensures that space remains a safe, sustainable, and commercially viable frontier for future generations."