Argus

ARGUS ingests real-time Telegram signals from verified battlefield channels, enriches each event using an LLM to extract structured intelligence — actors, locations, equipment, casualties, faction attribution — and cross-verifies against GDELT media signals to produce a confidence-weighted event stream. The system exposes a unified command dashboard where analysts can scrub through historical battlespace evolution, watching events appear and transition from unverified to confirmed in real time as corroboration builds. A natural language query layer allows commanders to ask plain English questions — "what Russian equipment was reported near Kharkiv in the last six hours?" — and receive both the raw data and a structured SITREP in seconds. Every event is weighted by source trust, snapped to frontline position, and stored with full audit trail. The result is a living operational picture that compresses hours of manual intelligence synthesis into a continuously updated, queryable battlespace model.