What It Does

Neuraspace is an AI-driven space traffic management (STM) platform that automates collision risk assessment and maneuver planning for satellite operators. Using advanced machine learning models, it processes conjunction data messages (CDMs) and provides actionable manoeuver suggestions up to 5 days before a potential collision, enabling operators to protect their fleets while minimizing service disruptions.

Who It's For

Neuraspace serves satellite operators managing fleets of any size (from 5 to 500+ satellites), launch service providers requiring LEOP (Launch and Early Orbit Phase) services, defense and governmental organizations protecting national space assets, insurance carriers pricing satellite fleet risks, and regulators enforcing space debris mitigation standards.

The Problem It Solves

As constellations grow and low Earth orbit becomes increasingly crowded—with a projected 15x increase in orbiting bodies by 2030—traditional manual collision avoidance methods have become unsustainable. Current human-based solutions require approximately 8 hours per verified close encounter, demanding disruptively large amounts of time and manpower that don't scale with fleet growth.

Key Features & Capabilities

• Automated Risk Assessment: AI/ML algorithms automatically flag high-risk encounters, reducing hours of manual CDM analysis to minutes
• Predictive Manoeuver Planning: Generates shortlisted maneuver suggestions up to 5 days in advance
• LEOP Services: Precise satellite tracking and safe deployment using high-precision TLEs, ground sensors, and GNSS data
• Launch Screening: Conjunction screening and collision avoidance during critical launch phases
• Mission Design Support: Orbit determination and communication loss support
• 24/7 Real-Time Protection: Global network of sensors for continuous space domain awareness
• Evolving Intelligence: Models continuously improve through datasets from new customers, partners, and ongoing research

Typical Workflows

Operators can evaluate flagged high-risk encounters and select from AI-recommended maneuvers within minutes, dramatically reducing the operational burden on small teams while protecting missions, optimizing fuel usage, and reducing costs. The platform integrates with existing operational workflows through a pilot testing phase before full-scale deployment.

What Makes It Different

Neuraspace's AI-first approach transforms space traffic management from a labor-intensive manual process into a scalable, autonomous system. By partnering with leading research institutions including ESA, GMV, Carnegie Mellon, and Portuguese space agencies, Neuraspace combines cutting-edge research with practical operational tools designed specifically for the challenges of managing satellite fleets in an increasingly crowded orbital environment.