ARGUS collects thousands of unstructured anomaly reports — Pentagon files, pilot testimonies, radar logs, NASA records — and uses AI to find the patterns humans miss at scale.
Pentagon files, pilot reports, radar logs, NASA records, and 79,621 public sightings — all funneled into a single structured database.
Natural language AI reads unstructured reports and extracts shape, speed, movement, location, military involvement, and credibility signals.
AI identifies recurring behaviors, geographic clusters, time-based spikes, and anomalies no human analyst could find across millions of data points.
Reports from different countries, decades apart, describing identical behaviors are linked. Embeddings find what keyword search misses.
Every case is scored against radar confirmation, pilot involvement, witness count, military verification, and physical evidence consistency.
Global heatmaps, live anomaly feeds, similarity analysis, and AI case summaries — the war-room experience of a defense intelligence platform.
"What patterns emerge when AI analyzes unexplained aerial data at scale?"
ARGUS is not trying to prove aliens exist. It is asking what happens when you apply rigorous AI analysis to data that humans have never been able to process fully.