Feature
Advanced OSINT Reasoning Engine
Entity resolution, causal analysis, anomaly detection, Hawkes forecasting, and knowledge graphs — powered by a dedicated FastAPI microservice.
The Intel Engine is a dedicated Python FastAPI microservice that provides advanced OSINT reasoning capabilities beyond standard AI analysis. It performs cross-source entity resolution with fuzzy matching, detects political regime transitions, identifies statistical anomalies in event streams, forecasts contagion effects using Hawkes point processes, and builds structured knowledge graphs with full provenance tracking.
Key capabilities
What's included
Entity Resolution
Cross-reference entities across hundreds of sources with LSH hashing (threshold 0.5) and fuzzy matching (85% score). Disambiguate people, organizations, and locations that appear under different names.
Hawkes Forecasting
Self-exciting point process model that predicts event contagion. When one incident occurs, the model estimates the probability and timing of follow-on events based on historical patterns.
Anomaly Detection
Statistical anomaly identification in event streams. Detect unusual patterns in incident frequency, severity spikes, or geographic clustering that deviate from baseline.
Causal & Counterfactual Analysis
Build causal graphs between events, actors, and outcomes. Run counterfactual simulations — "What if X hadn't happened?" — to understand alternative timelines.
Adversarial Scenario Detection
Red-team adversarial pattern detection that identifies coordinated influence operations, disinformation campaigns, and deliberate escalation patterns.
Knowledge Graphs
Build and query structured knowledge representations with full provenance tracking. Every intelligence assertion is traceable back to its source data.
Use cases
How it's used in practice
Cross-Source Entity Investigation
Track a person or organization across hundreds of sources. The entity resolution engine disambiguates aliases, alternative spellings, and transliterations to build a unified profile.
Event Contagion Forecasting
After a major incident, use Hawkes forecasting to estimate the probability of follow-on events. Understand whether an attack or crisis is likely to spawn copycat events or escalation.
Alternative Timeline Analysis
Use counterfactual reasoning to explore "what if" scenarios. What if sanctions had been imposed earlier? What if a diplomatic agreement had held? Understand causal chains and leverage points.
FAQ
Frequently asked questions
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