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"Transforming Open Data into Actionable Intelligence"

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​​R-MOR's OSINT system is a comprehensive solution that enables organizations to transform open data into actionable intelligence, supporting their efforts in combating organized crime, terrorism, and latent threats and facilitating quick and effective decision-making. In an increasingly interconnected yet multipolar world, the ability to collect, analyze, and generate reports from large amounts of open-source data in the shortest possible time is essential to anticipating threats and making informed decisions.

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R-MOR's OSINT system stands out for its ability to gather information from the surface, Deep and Dark webs and offline sources, providing penetrating and detailed analysis. Using Machine Learning and Natural Language Processing algorithms, the OSINT system supports an organization's efforts to combat organized crime, terrorism, and latent threats. It enables users to search for entities and topics of interest with partial or non-unique data, refining results and visualizing complex relationships through interactive graphs.

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The system incorporates advanced profiling and data verification capabilities, detecting anomalies and consolidating information to offer critical real-time analysis. With an intuitive interface and case management tools, R-MOR provides a robust and secure platform that ensures complete anonymization and encryption of network sources.​

General Capabilities of OSINT and Data Fusion

End-to-End Data Enrichment Solution:

  • Collection of Open Source information, analysis, and reporting

  • User friendly: Rapid results without having to rely on expensive personnel

  • Collects vast amounts of information across the surface, Deep and Dark webs and offline sources

  • Complete, stealthy, secure and comprehensive network source anonymization and encryption

Dynamic Search and Analysis Engines:

  • Enables searches for entities and topics of interest with partial or non-unique data using Machine Learning (ML) and Natural Language Processing (NLP) algorithms

  • Supports wide searches for entities and keywords, and analyzes published web content

Advanced Profiling Capabilities:

  • Mass and wide data enrichment collectors for digital footprint

  • Cross-platform insights engines provide critical analysis and valuable data through a real-time user interface

Graph Visualization:

  • Generates data-visualizations that present records as nodes with defined relationships to other records, as well as links between nodes

  • Demonstrates relationships between users and event timelines

  • Case management function exports graphs as images and generates detailed investigation reports

Additional Analysis Tools:

  • Analysis of potential contacts, companies, online appearance, and text and sentiment analysis

  • Trend analysis, entity extraction, and identification of influential users

  • Generation of new investigative leads and detailed profiling

  • Images analysis

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