Information gathered from multiple sources are aggregated and structured thanks to powerful artificial intelligence algorithms, to enable an automated and systematic feature extraction.
The use of AI to structure data permits Preligens’ AI factory to analyze trends and recognize patterns of life.
This last layer of AI then raises automated alerts, aggregates and correlates abnormal activities, to identify key events and anticipate the appropriate course of action.
A Multi-INT application software leveraging multi-sensor data, such as ADS-B, satellite imagery (SAR, Night Light, InfraRed and optical), social networks or the press, to provide its users with comprehensive and synthetic dashboards, to highlight key nodes and spot vulnerabilities.
Detect and classify aircraft, harness ADS-B data to learn about their flight plans, identify threats both on land and sea.
A Multi-INT tool to monitor the maritime situation at a given location, for Mission Preparation, Mission Rehearsal and Operations.
The solution enables both maritime situation and site surveillance, by automatically monitoring the activity of vessels at sea, ports & harbors, airports, anti-aerial defence systems, and shore batteries.
Detect and classify boats, leverage AIS data to learn about their journey, identify threats on land and sea.
A multi-source mapping & monitoring tool for complex systems.
The solution combines a mapping tool relying on Publicly Available Information (PAI) to automate feature extraction (e.g. roads or electrical grids), and an image tool where Artificial Intelligence algorithms (Vision-Based Machine Learning) run on satellite imagery (SWIR, Optical, …) to enable site surveillance.
Understand node aggregation, simulate the impact of abnormal activities on the overall system, and decide on the course of action.
*PMESII: Political, Military, Economic, Social, Information, Infrastructure