As your constellation orbits, smooth day-to-day operations will be continuously challenged by incoming conjunction data messages (CDMs).
Traditional collision avoidance requires disruptively large amounts of time and manpower to protect hundreds of satellites.
As more and more constellations deploy in low earth orbit, the risk to your ﬂeet will also grow, putting more strain on your ability to maintain safe operations with a small staﬀ.
Neuraspace’s AI/ML solution streamlines operations by automating risk assessment and providing manoeuver suggestions up to 6 days before a conjunction.
With hundreds of fleet satellites to monitor, and 15x more orbiting bodies in LEO by 2030, manual methods will become unsustainable for many operators.
A team of professionals must assess every incoming CDM for risk, and typically takes 8 hours to resolve a verified close encounter.
A single operator can evaluate a high risk encounter flagged by Neuraspace and choose from a short list of suggested manoeuvers within minutes.
Smoother operations with AI
Neuraspace enables you to protect your growing fleet from space debris with fewer service disruptions to your customers.
Book a Demo
Request a 30 minute meeting to see what Neuraspace can do, and get your questions answered.
Run a Pilot
Test Neuraspace for 3 months to compare its speed and accuracy against your existing solution.
Scale your Decision Making
Empower your team with the tools to keep your growing ﬂeet safe with less impact on operations.
With space becoming more and more crowded every year, our AI solutions are designed to make it easier and more cost-eﬀective for satellite companies to operate.
Whether your ﬂeet numbers 5 or 500, get the time and intelligence your small team needs to avoid service disruptions, collisions, and liability.
Keep space safe and proﬁtable with Neuraspace.
Ongoing AI/ML support at scale can help a small team handle collision alerts and minimise unnecessary manoeuvres, protecting their mission, optimising space operations, saving fuel, and saving money.
Accurate and up to date statistics are vital to price the risks facing satellite fleets during planning and after launch. Our AI models evolve constantly, fed by datasets from new customers and partners, backed by ongoing research.
We can supply vital information to the authorities whose remit is to keep space safe for everyone, as they attempt to enforce global adherence to space debris mitigation.
We are partners with leading university and institutional AI and Machine Learning Research Centres, as well as collaborating with major industrial firms in the sector.
The ESA has an ambitious vision to be among the top space agencies in the world and seeks to solve crises on Earth caused by natural or human-made disasters, with protection of space assets an important part of their mission.
GMV is a global private capital technology business group with headquarters in Spain which is active in a number of sectors including Space and Aeronautics.
The largest school of Architecture, Engineering, Science and Technology in Portugal which encompasses a community of over 10,000 people, with a major emphasis on Space research.
The NOVA School of Science and Technology (FCT NOVA) is one of the three largest and most prestigious schools of Engineering and Sciences in Portugal.
Engaged in many large-scale collaborative and exploratory projects, many of them IT and Space related, Carnegie Mellon is based in Lisbon.
The national space agency of Portugal, based in Lisbon and the Azores, is the institution that is promoting Portugal’s role in Space, with a particular emphasis on satellites.
The University of Coimbra (UC) is the oldest in Portugal and internationally celebrated, that has eight faculties, over 40 research units and several other services that support the institution's core activities – creation, critical analysis, transmission and diffusion of culture, science and technology.