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Home » From AI Space Tracking to 30TB of Data a Day: ExoAnalytic Solutions Nominated for 2026 World AI Awards
Aerospace, Aviation & Space

From AI Space Tracking to 30TB of Data a Day: ExoAnalytic Solutions Nominated for 2026 World AI Awards

Art RyanBy Art RyanSeptember 27, 2026No Comments5 Mins Read
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ExoAnalytic Solutions has been nominated for the 2026 World AI Awards in the Aerospace category, recognising its work in space domain awareness, artificial intelligence-assisted monitoring and software designed to make sense of an increasingly crowded orbital environment.

The company occupies a specialised corner of the aerospace sector. Rather than building rockets or satellites, ExoAnalytic focuses heavily on understanding what is already moving above Earth — tracking spacecraft and other objects, identifying unusual activity and turning huge streams of observational data into information that operators can actually use.

That challenge is becoming harder. More satellites are reaching orbit, spacecraft can manoeuvre, debris remains a persistent concern and national security organisations want a clearer picture of activity far beyond Earth.

The World AI Awards recognises organisations, individuals, products and technologies contributing to the development and practical application of artificial intelligence across industries.

AI watches thousands of objects in orbit

At the centre of ExoAnalytic’s AI work is ExoALERT, its AI-assisted human-in-the-loop exploitation and reporting system.

The software operates continuously on information gathered through the company’s space-monitoring infrastructure, looking for anomalies among thousands of tracked objects.

The scale is striking. ExoAnalytic documentation says ExoALERT can autonomously process around 30 terabytes of raw data every day, covering approximately 4,500 space objects. That stream is reduced to real-time alerts rather than handed wholesale to human analysts.

Humans deliberately remain part of the process.

ExoALERT is designed so analysts can review alerts and override the AI and machine-learning reasoning when required. ExoAnalytic says the system typically generates roughly a dozen alerts per hour, leaving people to concentrate on events that warrant attention instead of continuously reviewing the underlying data.

That human-machine workflow is particularly relevant in space domain awareness. The problem is not simply collecting more observations. It is deciding which changes among thousands of objects matter.

A global telescope network feeds the intelligence layer

ExoAnalytic’s software is backed by a substantial physical sensing network.

The company operates the ExoAnalytic Global Telescope Network, a commercial optical network used for space domain awareness. Reporting surrounding Anduril Industries’ 2026 agreement to acquire ExoAnalytic described the network as comprising more than 400 telescopes, providing persistent observations used for satellite and missile tracking.

That combination of sensors and software is important. AI without timely observational data has little to analyse; telescope observations without effective processing can overwhelm the people responsible for interpreting them.

ExoAnalytic also provides catalog-reconciliation technology that compares and integrates information from multiple space-object catalogs. Its system is designed to address problems such as duplicate tracks, false detections and cases where the same identifier becomes associated with different objects. The resulting catalog can support tasks including conjunction warnings, re-entry prediction and launch collision avoidance.

This is less glamorous than launching a spacecraft. It is also increasingly important as orbital traffic grows.

Anduril brings ExoAnalytic into a wider autonomous space strategy

ExoAnalytic entered a new chapter in March 2026 when defence technology company Anduril Industries announced an agreement to acquire the business. Reporting on the transaction described ExoAnalytic as a specialist in satellite and missile tracking, space sensing and awareness.

The fit is fairly direct.

Anduril is building space capabilities around autonomous rendezvous and proximity operations, battle management, mission payloads and resilient communications. Its space architecture is designed to connect ground and orbital sensors, data repositories and command-and-control systems while introducing more autonomy at the spacecraft level.

Several missions are already on its development schedule. Anduril says it is working with Impulse Space on a high-precision geostationary rendezvous and proximity operations mission, while integrations with Apex Space and Argo Space involve edge computing, mission autonomy and space-domain-awareness sensors.

ExoAnalytic adds something fundamental to that picture: a mature sensing network and software built to understand what is happening in orbit before another autonomous system has to respond.

Space AI is becoming a data problem as much as a spacecraft problem

ExoAnalytic’s nomination points to a side of aerospace AI that can be easy to overlook.

Artificial intelligence in space does not always sit onboard a satellite. Sometimes its job is down on Earth, processing enormous observation streams, identifying behaviour that looks unusual and giving human analysts a manageable number of events to investigate.

ExoALERT is a practical example. Its purpose is not to eliminate the analyst. It is to shrink a 30TB-per-day data problem into something a human team can realistically examine.

That distinction matters as commercial and government space activity expands. Knowing where an object is remains essential. Understanding when its behaviour changes — and deciding whether that change deserves attention — is the harder problem.

Graham Cooke, President of the World AI Awards, said:

“ExoAnalytic Solutions’ nomination highlights an increasingly important challenge for the aerospace sector: making sense of the enormous amount of information being generated as activity in orbit expands.

“Its work combining large-scale space sensing with AI-assisted analysis demonstrates how artificial intelligence can help specialists identify unusual activity without removing human judgement from the process. As space becomes more complex, that ability to turn observations into useful situational awareness will become increasingly valuable. We congratulate ExoAnalytic Solutions on its 2026 World AI Awards nomination.”

ExoAnalytic Solutions joins organisations, researchers, entrepreneurs and technology developers being recognised through the 2026 World AI Awards.

The programme recognises organisations, individuals and technologies contributing to the development and application of artificial intelligence across industries. ExoAnalytic’s work offers a particularly concrete example: AI being used not as a general-purpose assistant, but as part of an operational workflow for processing space observations at a scale that would be difficult to manage manually.

Its integration with Anduril also points toward a bigger shift. Space sensing, edge computing, autonomous spacecraft and command-and-control software are beginning to converge. The intelligence layer connecting those systems may prove just as important as the spacecraft themselves.

Learn more about ExoAnalytic Solutions and Anduril’s space capabilities at anduril.com/space/space.

Discover the World AI Awards 2026, explore the nominees and learn more about the awards at worldawards.ai.

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Art Ryan

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