Automated Open Source Intelligence
Monitoring publicly available information at scale
By using computer-managed source discovery, content extraction, semantic analysis and threat/opportunity scenario detection to collect and analyze more than 10 million sources a month in more than 50 languages. This gives us a view of the vast majority of the internet media content and allows us to “take the pulse of the planet.”
Being able to derive actionable intelligence from PAI using the latest advancements in Artificial Intelligence (AI), Natural Language Processing (NLP), and Machine learning (ML), completely changes the way analysts have to interact with huge volumes of unstructured data in a meaningful way.
Traditional analysts can spend hours perusing the vast amount of publicly available information (PAI) on the internet and even longer reporting on it. This process is labor intensive, expensive, and process-driven rather than data-driven.
The challenge is to analyze and digest PAI, in a data-driven way, to derive actionable business intelligence in near real-time, 24 hours a day, 7 days a week.
- Provides tools for analysis and visualization of news data in real-time
- Enables to access a majority of internet media content
- Combines various tools and processes to interact with big volumes of unstructured data