Founder & CEO
Profile summary: Feedzai Chairman & CEO
Neuraspace
10/10Traction
Neuraspace provides an AI/ML-powered space domain awareness platform that automates collision risk assessment for satellite operators. The platform analyzes conjunction data messages and delivers maneuver recommendations up to five days before a potential event, enabling fleets to scale safely without proportional increases in operational staff. Its solution is designed to address the growing congestion in low Earth orbit as more constellations deploy.
- Artificial Intelligence
- Data & Analytics
- Defense Tech
- Software Only
Updated 1 month ago
Funding
Raised to date
€29MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Est. $31.6Macross 3 rounds
EIPS€6M · Series B
Announced Aug 2026 · from article date
Disclosed cumulative: $19.7M
3/3
RoundDateAmountValuationInvestors
Founders
Product
Problem
As satellite constellations grow, operators face an increasing volume of conjunction data messages (CDMs) that require continuous monitoring and manual analysis. Traditional collision avoidance workflows demand significant time and manpower, making it unsustainable for teams to protect hundreds of satellites as the number of orbiting bodies in low Earth orbit is projected to increase fifteen-fold by 2030.
Solution
Neuraspace provides an AI/ML-driven space domain awareness platform that automates risk assessment and streamlines collision avoidance operations. The system ingests CDMs and applies machine learning models to evaluate collision risk, delivering maneuver suggestions up to five days before a potential conjunction. This automation reduces the manual workload on flight dynamics teams, allowing operators to protect larger fleets with the same staff. The platform is designed to scale with constellation growth, enabling operators to maintain safe operations while minimizing service disruptions.
Target Audience
Primary customers are satellite constellation operators and space asset owners who need to manage collision avoidance for growing fleets in low Earth orbit with limited operational resources.
Features
- AI/ML-based automated risk assessment that processes incoming conjunction data messages without manual intervention
- Maneuver recommendations provided up to five days before a predicted conjunction event
- Scalable architecture designed to support fleets of hundreds of satellites with limited operational staff
- Pilot program allowing operators to test the platform for two months and compare speed and accuracy against existing solutions
- Integration into day-to-day operations to reduce the operational impact of collision avoidance activities