Know what caused every GNSS event on your routes
Flight data services already map where aircraft lose satellite positioning (GNSS, such as GPS). None we found tells you why. Ours does, and shows you the evidence.
The gap
Maps of GPS interference are easy to find. They show where aircraft reported poor positioning, not what caused it. A jammer, a spoofer, a geomagnetic storm and a single aircraft with faulty equipment can look alike on a map, and each needs a different response. We searched for a product that tells them apart and shows its reasoning, and found none. So we built one, from our own research on the position reports aircraft broadcast (ADS-B) over the Gulf, the Baltic and Iberia.
What the research says
rise in GPS signal loss events on aircraft between 2021 and 2024.
flights a day spoofed on average in mid 2024, up from 300 in the first half of the year.
Source: OPSGROUP, GPS Spoofing Workgroup final report (2024)
of the jamming events we found in 12 days of aircraft data were also seen by a separate receiver network that day.
aircraft in our 12-day study had poor GNSS readings from their own equipment while the aircraft around them were fine.
Source: Waselix analysis of public ADS-B aircraft data (12 days, 2024 to 2026)
What GNSS triage for aviation covers
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A cause for every event
Each interference event gets a likely cause, such as jamming, spoofing, space weather or the aircraft's own equipment, with a one-line reason.
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Says when it cannot tell
If the data cannot settle an event, it says so and sends it to a person with the evidence for and against, instead of guessing.
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Position quality decoded
Reads the navigation integrity and accuracy values aircraft broadcast (NIC and NACp), which drop when GNSS is jammed.
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Faulty equipment separated
An aircraft whose readings stay poor while every aircraft around it is fine is marked as its own equipment, not as interference.
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Spoofing flagged
Positions that jump faster than any aircraft can fly are flagged, together with where they jumped to.
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Space weather checked
Each event is set against geomagnetic storm levels at the time, so a solar storm is not mistaken for a jammer.
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Evidence you can check
Every verdict lists the data behind it, and each sentence of the draft is checked against that data before anyone reads it.
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Draft occurrence reports
Drafts structured like an aviation occurrence report, with the fields only your crew can complete left clearly open.
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A live map
Events on a map with their verdicts, next to wider context such as conflict zones and space weather.
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Runs on your own servers
The system and its AI model run on one server with an ordinary graphics card inside your network. Your flight data stays there, and there is no cloud contract.
Deliverables
- A pilot report on past events on your routes or in your airspace, showing the cause found for each and which ones went to a person
- The system installed on your servers and connected to your aircraft position data
- Report templates matched to your occurrence reporting
- Training for your operations or safety team
Who it's for
- Airline flight operations and safety teams
- Air navigation service providers and airports
- Operators flying near the Gulf, the Black Sea and the Baltic
- Aviation safety analysts tracking GNSS interference
How we work
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Scoping call
We learn which routes or airspace matter to you, what data you hold, and how you report events today.
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Pilot on past events
We run the system on past events in your area and show you the cause it found for each.
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Install and connect
The system goes onto your servers, connected to your data, and your team is trained on it.
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Ongoing support (optional)
Monitoring and tuning as interference patterns change.
Questions from aviation teams
Don't interference maps already show this?
Maps show where aircraft lost GPS. Telling you why, and showing the evidence for it, is the step we found no one offering. This service does that step on the data you already have.
How do you know the results are right?
We check them against a second receiver network. Of the 201 jamming events we found in 12 days of aircraft data, 193 (96%) sit where GPSJam, built from different receiver networks, also saw degraded navigation that day. Spoofing is harder to confirm this way, because a spoofed aircraft can still report good accuracy, so spoofing calls go to a person with their evidence.
Can it tell a faulty aircraft from jamming?
Yes. Jamming affects every aircraft in the area, while a faulty receiver affects one. When one aircraft reads poorly and the aircraft around it are fine, the event is marked as that aircraft's own equipment. In our 12-day study it set aside 882 aircraft this way.
Does it help with EASA reporting?
EASA asks operators to report GNSS anomalies, and says all spoofing events should be reported; events that affected flight safety must be reported under Regulation (EU) 376/2014. The system drafts a structured report for each event so your safety team starts from the evidence. Your team completes and files it (EASA, GNSS outages and alterations (SIB 2022-02R4, 2026)).
What data does it need?
ADS-B position reports for the area and period you care about, from a receiver network or your own data. The integrity and accuracy values in those reports (NIC and NACp) are what show an aircraft losing GNSS.
Can it tell spoofing from jamming?
Spoofing moves positions, so the system flags jumps no aircraft could make. Jamming removes positions instead. When both happen at once, which is common near conflict zones, the event goes to a person with the evidence for each.
What hardware does it need?
One server with an ordinary graphics card. The AI model is small enough to run locally, so there is no cloud contract and nothing to send outside your network.
Does our data leave our network?
No. The system and its AI model run on your own servers. Only public context, such as space weather, is looked up online.
Is the AI making the decision?
No. Rules settle only what the data explains. The AI drafts the rest, each sentence is checked, and a person signs.
Ready to see where you stand?
Book a free scoping call. We'll tell you honestly whether this is a fit.