Space is getting crowded, and Neuraspace just raised $18.0M in a Series B to help satellite operators avoid the growing hazard of orbital collisions. The funding backs a company that uses machine learning to automate the tedious, manual work of assessing conjunction events-when two objects in orbit come dangerously close.
The pitch is straightforward: as space traffic and debris pile up, operators are drowning in data that’s costly and slow to analyze by hand. Neuraspace’s algorithms claim to catch up to 33% more high-risk collisions that current methods miss, which could also give insurers a sharper read on satellite risk. The round’s investors weren’t disclosed, but the capital signals a bet on AI-driven traffic management as a practical fix for an increasingly cluttered orbital environment.
