News: Katalyst to demo defensive counterspace as a service
ARC uses machine learning (ML) to process large volumes of photometric and astrometric data to generate actionable insights that improve mission outcomes.
Space is more congested and contested than ever before. The number of resident space objects (RSOs) and the volume of raw optical sensor data is increasing exponentially. Meanwhile, our ability to process all of this data is falling behind.
When mission operators can't keep up with the volume of data coming in, they don't get the insights they need to make informed decisions. Relying on an outdated approach to data processing puts missions at risk, as decision-making falls behind the speed of relevance.
ARC processes large volumes of data and surfaces high priority insights to human analysts. Through applied machine learning, ARC can surface insights from existing datasets that may otherwise go undetected.
ARC's algorithms detect patterns in data and behavior that can be used to classify objects or alert human analysts to suspicious maneuvers.
ARC accurately characterizes RSOs as active payloads, inactive payloads, or debris
Algorithms can detect behavior outside the Pattern of Life for high priority objects
ARC surfaces key insights via alerts, so that operators can prioritize downstream operations
Unlike closed protocol alternatives, the ARC software suite can be configured for your use case and integrated with existing systems. We believe in flexibility, not vendor lock.
ARC provides individual capabilities to fit into existing SDA processing pipelines
You can pair ARC with the other tools you use via our Familiar API
Compatible with government and commercial data streams
Are you passionate about building a more accessible and sustainable economy in space? Katalyst Space Technologies is the only company designing a complete solution for upgrades in space. You can reach out to partner with Katalyst or join our team.
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