ANALYSIS YOU CAN READ AT A GLANCE

Plain-language alerts & briefings

A score is only useful if you understand it. AeroScope converts its structured output, attention factors: integrity flags, pattern classifications, into short, readable sentences that say plainly what is over your area and why it was surfaced.

What it produces

From structured signals to a sentence

When the pipeline raises an aircraft's attention or fires a detector, AeroScope assembles a summary from the exact fields involved, the contributing factors: the integrity result, the proximity, the pattern. The result reads like a human note and links straight back to the evidence.

Elevated attention (72), military ICAO hex range and a flight-envelope anomaly, 6.2 NM NE and closing, classified racetrack orbit. Integrity nominal.

Geofence enter. "North perimeter" zone entered by a low, slow, no-callsign target flagged drone-candidate (HIGH).

Emergency squawk. 7700 detected 14 NM SW; general emergency.

How it's built

Deterministic templates, not a generative model

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Template-driven

Each sentence is composed from the structured analysis by fixed rules and templates, the same inputs always produce the same wording, so a briefing is auditable.

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Always linked to evidence

Every phrase corresponds to a real factor, flag or measurement you can open and inspect. Nothing is asserted that the data didn't produce.

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Delivered where you watch

Summaries surface on the map, in geofence and emergency-squawk alerts, and in exports, so the "why" travels with the "what."

Honest scope. These briefings are generated by deterministic templating over structured pipeline output. They are not produced by a large language model or any trained text-generation system, and they never invent detail beyond the measured signals.
How it works

Templated summaries, not a language model

The briefing layer converts the numbers already on screen into readable sentences using deterministic templates driven by thresholds. If three aircraft are within your radius and one carries an elevated attention score, the briefing says so, in the same words, every time those conditions hold.

This is worth stating plainly because "plain-language" often implies a generative model. There is no LLM generating these summaries. That choice has real consequences, and they run in both directions.

AdvantageCost
Cannot hallucinate an aircraft or an eventPhrasing is repetitive by design
Identical conditions always produce identical wording, so changes in the text mean changes in the skyNo nuance beyond what the templates encode
Auditable: every sentence traces to a threshold you can inspectNew situations need a new template rather than emerging automatically
FAQ

Frequently asked questions

What are AeroScope briefings?
Short, human-readable summaries that explain why an aircraft was surfaced, the attention factors that fired, the integrity result, proximity and pattern classification, assembled from the platform's structured analysis and shown alongside the map and alerts.
Are the briefings written by an AI language model?
No. They are produced by deterministic templates over the structured pipeline output, so the same inputs always yield the same wording and every phrase maps to real evidence. No large language model or trained text generator is involved.
Where do the alerts appear?
On the live map, in geofence enter/exit and emergency-squawk (7500/7600/7700) alerts, and in CSV/JSON exports, so the explanation travels with the data.
Does AeroScope use AI to write its airspace briefings?
No. Briefings are generated from deterministic templates driven by thresholds on the underlying data. There is no language model involved, which means a briefing cannot hallucinate an aircraft or an event, and identical conditions always produce identical wording.
Why use templates instead of a language model for summaries?
Because the summaries describe a live safety-adjacent picture. A template cannot invent an aircraft that is not there, and because the wording is stable, any change in the text reflects a real change in the sky. The trade-off is repetitive phrasing and no nuance beyond what the templates encode.