Open-source intelligence (OSINT) analysis of active conflict zones requires the fusion of heterogeneous data streams, real-time geolocation, and structured analytical reasoning. We present OSINT Nexus, a production-deployed multi-source intelligence fusion system that ingests news feeds, Telegram channels, flight tracking, maritime AIS, satellite fire data, and market signals into a unified pipeline. The system applies a five-layer architecture: ingestion, verification, LLM-powered reasoning, adaptive confidence calibration via Bayesian source reliability weighting, and autonomous situation report generation. Confidence levels follow ICD 203 analytic standards. A temporal knowledge graph (Neo4j) stores entity relationships with exponential edge decay. The system has been running continuously on live conflict data since March 2026. We describe the architecture, evaluate confidence calibration accuracy, and discuss deployment challenges for production OSINT systems.
Rachid Jaada (Sun,) studied this question.