OrbitalGuard is a space technology platform that helps CubeSat teams, researchers, and small satellite operators understand orbital conjunction risk. It works with publicly available satellite catalog data, propagates the orbits of tracked objects, and screens for close approaches, turning complex orbital information into insights that are easier to read and reason about. Our aim is straightforward. We want teams operating in an increasingly crowded orbital environment to have a clearer view of the risks around their satellites.
Access to space is broader than it has ever been. Universities, research groups, and small companies now design, build, and operate their own satellites, often with lean teams and limited budgets. As more objects reach orbit, understanding how they move in relation to one another becomes more important for everyone sharing that space.
Detailed orbital awareness has traditionally been the domain of large operators and agencies with specialized tools and staff. Smaller teams often work with the same public data but without an accessible way to interpret it. OrbitalGuard exists to close that gap. Our mission is to make orbital conjunction information easier to understand, so that teams of any size can reason about the risks their satellites may face. We do not prevent collisions or make operational decisions. We focus on presenting clear, honest information that supports the people who do. We believe that better shared awareness benefits the whole community operating in orbit, not only the team running a single satellite.
OrbitalGuard brings several capabilities together in one platform. We analyze publicly available satellite catalog data to give you a structured view of tracked objects in orbit. We propagate the orbits of those objects forward in time using established orbital mechanics methods, so you can see where they are expected to be. We screen for conjunctions, identifying close approaches between objects of interest. And we present risk assessment insights that help you understand which approaches may warrant closer attention.
Across all of this, our role is to help users understand their orbital environment and to provide analytical insights that support decision making. OrbitalGuard does not control satellites, does not issue commands, and does not guarantee outcomes. It is a tool for awareness and analysis, built to inform the judgment of the people using it.
Bringing these steps together in one place matters. Teams working with public orbital data often move between separate scripts, spreadsheets, and reference sources to answer a single question about a close approach. OrbitalGuard connects catalog data, propagation, and conjunction screening into one workflow, so the path from raw orbital data to a readable assessment is shorter and easier to repeat.
OrbitalGuard is built for the range of teams working with small satellites and orbital data.
Student groups and small engineering teams building CubeSats can use OrbitalGuard to understand the orbital neighborhood their spacecraft will operate in, without needing to build conjunction screening tools from scratch.
Academic and scientific researchers studying orbital dynamics, space situational awareness, or the growth of objects in orbit can use the platform to explore catalog data and close approach scenarios in a structured way.
Operators running one or a handful of satellites can use OrbitalGuard to keep an informed view of potential close approaches, supporting their own monitoring and planning routines.
Companies and groups working across the small satellite sector can use OrbitalGuard as an accessible layer over public orbital data, helping their teams stay aware of the conditions around their assets.
The way we build OrbitalGuard reflects a few clear principles. Throughout, we treat our outputs as support for professional judgment, not a substitute for it.
Orbital information is complex, and we work to present it in a way that is readable and practical rather than overwhelming.
We are open about the data sources and orbital methods behind our outputs, so you can understand where the information comes from and how it is produced.
We aim for insights that connect to the real questions operators and researchers ask, not abstractions.
We are committed to the responsible use of space information, treating orbital data with the care that a shared environment deserves.
The number of objects in orbit has grown significantly over the past decade, driven by large constellations, rideshare launches, and the falling cost of building small satellites. Low Earth orbit in particular has become far more populated, and with more objects comes a greater chance of close approaches between them.
For any team operating a satellite, understanding these close approaches is part of operating responsibly. A clear view of which objects are nearby, and when approaches may occur, helps teams plan, monitor, and respond with more confidence. Yet the tools to build that view have not always been accessible to smaller teams. Making orbital awareness more approachable is not only a convenience. It supports the safer and more sustainable use of orbit for everyone who depends on it.
Much of the population in orbit is not active satellites but debris, including spent rocket bodies and fragments from past events. This debris cannot maneuver, and each close approach carries the risk of creating more of it. The long term health of the orbital environment depends on operators across the community maintaining awareness and acting carefully. Accessible tools that help more teams participate in that awareness are part of keeping orbit usable for the missions that follow.
We want orbital risk information to be something any capable team can access and understand, regardless of size or budget. As more organizations take part in space activity, the value of shared, understandable awareness only grows.
OrbitalGuard aims to keep making orbital conjunction information more accessible and easier to interpret for teams working with space technology. We are focused on doing that one capability at a time, guided by the needs of the operators, researchers, and engineers who use the platform, and grounded in a realistic view of what analytical tools can and cannot do.
We believe trust is earned through honesty about what a tool can and cannot do. OrbitalGuard works with publicly available satellite catalog information. The accuracy and timeliness of that data are determined by its original sources, and orbital predictions always carry uncertainty. We are clear about these limitations rather than hiding them. Our platform provides analytical tools and insights, not operational guarantees, and it is not a replacement for professional mission operations. The people using OrbitalGuard remain responsible for their own operations and decisions.
This is the same standard reflected in our Privacy Policy and Terms of Service. We aim to be straightforward about our data, our methods, and our role, because the teams who rely on orbital information deserve tools they can reason about with confidence.
We are happy to hear from operators, researchers, and anyone working with orbital data. If you have questions about the platform or how it can support your work, contact our team.