Neuraspace

What is Neuraspace?

Neuraspace is an AI and machine learning platform for space traffic management. It streamlines space operations, automates risk assessment, suggests maneuvers, and helps satellite operators avoid collisions. The platform detects high-risk collisions earlier than conventional methods, reduces false alarms, and includes fleet management and scalable tooling.

It has limitations: it doesn’t offer instant real-time solutions, and its prediction horizon and automation have bounds. Even so, it suits smaller teams, helps optimize space operations, and supports compliance with space safety regulations by providing key data and statistics.

Who created Neuraspace?

Chiara Manfletti founded Neuraspace. The company’s mission is to simplify space operations, automate risk assessment, and provide maneuver guidance that reduces collision risk — increasingly important as satellite constellations grow in low Earth orbit. Its team combines expertise in software engineering, data science, and aerospace engineering, working to automate satellite fleet control and address the space debris problem.

What is Neuraspace used for?

• Streamlining space operations
• Automating risk assessment
• Suggesting maneuvers up to six days before a potential collision, leaving time to react
• Reducing collision chances and service disruptions
• Cutting alert volume and detecting high-risk collisions earlier
• Lowering liability, fuel use, and costs
• Supporting smaller teams
• Serving insurance companies

Who is Neuraspace for?

Neuraspace targets professionals across the space industry, including Space Operations Directors, Orbital Dynamics Engineers, Aerospace Engineers, Data Scientists, Machine Learning specialists, Software Engineers, Product and Project Managers, and executives, board members, and investors. Users and audience include people affiliated with organizations such as ESA/ESOC, OHB, the German Aerospace Industries Association, and the German Aerospace Center.

Key takeaways

Neuraspace applies AI/ML to space traffic management with earlier collision detection, automated risk assessment, and maneuver suggestions up to six days ahead. Its alert filtering helps teams focus on genuinely high-risk events, and its fleet management tools scale from small constellations to larger deployments. While limited in real-time response and prediction horizon, it’s a practical option for satellite operators — especially smaller teams — looking to reduce alerts, fuel costs, and collision risk while supporting regulatory compliance.