Connecting The Invisible
Advanced multi-source correlation algorithm that seamlessly connects geolocation data with identifying information, enabling continuous tracking and target identification even when traditional identifiers go dark.
Advanced Correlation Technology
Our algorithm solves the fundamental challenge of connecting non-identifying sensor data with identifying information, enabling continuous tracking even when targets attempt to evade detection.
Multi-Source Correlation
Automatically correlate data from diverse sources to maintain continuous target tracking and identification.
Real-Time Processing
Process and correlate massive datasets in real-time for immediate actionable intelligence.
Target Identification
Connect non-identifying sensor data with identifying information to maintain target awareness.
Data Fusion Engine
Combine RF geolocation, radar, AIS, satellite imagery, and other data sources into a unified view.
Temporal Analysis
Analyze historical patterns to predict future movements and improve correlation accuracy.
Scalable Architecture
Handle thousands of simultaneous targets across global regions with consistent performance.
Defense Applications
Concorde's correlation technology enables critical capabilities across defense and security domains, transforming how organizations maintain situational awareness.
Maritime Domain Awareness
Maintain continuous tracking of vessels even when they turn off AIS transponders or attempt to mask their identity.
Border Security
Correlate radar detections with identifying information to maintain awareness of all border activity.
Electronic Warfare
Connect RF emissions with specific platforms to maintain battlefield situational awareness.
Counter-Terrorism
Track and identify targets of interest across multiple sensor networks and geographical regions.
The Correlation Challenge
Many tracking technologies provide location data without identity information, while others provide identity without precise location. Concorde bridges this gap through advanced algorithms that automatically correlate these disparate data sources.
Probabilistic Matching
Uses advanced statistical models to determine the probability of correlation between data points
Temporal Pattern Analysis
Analyzes movement patterns over time to establish identity correlations with high confidence
Machine Learning Enhancement
Continuously improves correlation accuracy through machine learning from verified matches
Ready to transform your tracking capabilities?
Join defense and security organizations that rely on Concorde to maintain continuous tracking and identification of targets, even when they attempt to evade detection.