Recorded Future
Solutions for Defense & Intelligence Recorded Future’s breakthrough technology uses linguistic algorithms to extract temporal signals from unstructured text and organize that unstructured text into a multi-dimensional structure for analysis. In doing so, it identifies the underlying associations between entities and events across documents and sources over time. This text comes from tens of thousands of web sources, from government filings to mainstream media to niche publications to personal blogs to Twitter feeds. From this massive dataset of unstructured text, events are often described with both who is involved as well as when and where they will be happening. By organizing data around entities, events, and dates referred to in the text, specific patterns emerge to reveal both what has occurred in the past as well as what is expected to happen in the future.
Highlights ‣ The word’s first temporal analytics engine unlocks predictive indicators in unstructured data ‣ Deploy hosted, turnkey SaaS with Amazon EC2 or on-premise platform for government clouds & closed networks ‣ API for integration into existing harvesting and extraction pipelines
‣ Access an organized archive of 70,000 highvalue web sources ‣ Real-time data feed for analysis of news, blogs, social media, government sites and more
After harvesting, processing, and storing this data, Recorded Future offers custom-built visual analytics to explore that dataset. Timelines auto-generated at the moment of the query show past and upcoming events organized chronologically. Network graphs display the evolution of relationships among people, places, and organizations over time. Geospatial views locate these events to a place on the Earth and point in time. Combined, these views allow analysts to ask temporal questions like “Who’s traveling to Venezuela over the rest of the year?” or “What events will take place over the next 10 days related to Iran?” That is to say, it quickly accumulates and aggregates all past- and future-oriented observations from the source materials to match the query, offering weighted opinions about the likely timing of future events. Data retrieved from Recorded Future can also be used to build statistical models to see what was previously predicted. Instead of searching for events predicted to be happening over the next month, an analyst can query for what people a month ago were saying would happen by now. As time is then played forward, the
Harvest temporal and predictive signals from the web, or data on closed networks. Support for multiple languages.
“Reporting on what has happened in the past is no longer sufficient”
analyst can better understand why events unfolded as they did while learning which sources proved correct and which proved incorrect. This allows for pattern detection and mapping, which can be observed as likeevents occur in the future. Reporting on what has happened in the past is no longer sufficient — decision makers increasingly want to know what is going to happen. The best place to answer that is the giant dataset of unstructured text on the internet. Even the best teams of analysts can no longer try to read everything written. Tools are needed to make sense of it all. By harvesting huge amounts of unstructured text from traditional and social media, organizing that text around the people, events, and time-points found therein, and displaying events from the data with a variety of analytic visualizations, Recorded Future allows an analyst to interact with and understand Big Data in a unique, powerful manner. By recording all that the world knows about the future and making it available for analysis, we can now begin to report not just what happened yesterday but what is likely to happen tomorrow.
The world’s first temporal analytics engine Solution Options The Recorded Future Premium service, a hosted analytic environment on RecordedFuture.com, mines unstructured text from tens of thousands of sources, everything from government agencies to Twitter feeds—and organizes and aggregates the data to provide a temporally aware picture of what the world is thinking. The easy-to-use data and time exploration tools include momentum and sentiment. These calculations contextualize what the web is talking about, and measure how positive and negative that discussion is. With no downloads or plugins needed, users can interact with the data immediately. The Recorded Future technology is also available to be placed behind the firewall on closed networks. Source the local system with internal documents to apply this patented technology on classified materials, and gain temporal insight on the most sensitive of subjects. Marry those insights with an analysis of what’s being said on the open web to get a true wide-angle lens on what both the open-source media and internal agents expect to happen about a subject in the future. Recorded Future’s novel linguistic algorithms allow users to curate predictive signals like never before. Be it from open-source news feeds or classified data, Recorded Future can align people, companies, and events from that text in time.
Rich, browser-based visualizations with no plugins or downloads required.
Record what the world knows about the future and make it available for analysis.
Try It: www.recordedfuture.com
Open Source Intelligence Blog: www.analysisintelligence.com
For More Information: Contact Jason Hines at [email protected] or call 703-584-7511.
Video Demos: www.youtube.com/recordedfuture
www.recordedfuture.com
2111 Wilson Boulevard Arlington, Virginia 22201
Highlights ‣ The word’s first temporal analytics engine unlocks predictive indicators in unstructured data ‣ Deploy hosted, turnkey SaaS with Amazon EC2 or on-premise platform for government clouds & closed networks ‣ API for integration into existing harvesting and extraction pipelines
‣ Access an organized archive of 70,000 highvalue web sources ‣ Real-time data feed for analysis of news, blogs, social media, government sites and more
After harvesting, processing, and storing this data, Recorded Future offers custom-built visual analytics to explore that dataset. Timelines auto-generated at the moment of the query show past and upcoming events organized chronologically. Network graphs display the evolution of relationships among people, places, and organizations over time. Geospatial views locate these events to a place on the Earth and point in time. Combined, these views allow analysts to ask temporal questions like “Who’s traveling to Venezuela over the rest of the year?” or “What events will take place over the next 10 days related to Iran?” That is to say, it quickly accumulates and aggregates all past- and future-oriented observations from the source materials to match the query, offering weighted opinions about the likely timing of future events. Data retrieved from Recorded Future can also be used to build statistical models to see what was previously predicted. Instead of searching for events predicted to be happening over the next month, an analyst can query for what people a month ago were saying would happen by now. As time is then played forward, the
Harvest temporal and predictive signals from the web, or data on closed networks. Support for multiple languages.
“Reporting on what has happened in the past is no longer sufficient”
analyst can better understand why events unfolded as they did while learning which sources proved correct and which proved incorrect. This allows for pattern detection and mapping, which can be observed as likeevents occur in the future. Reporting on what has happened in the past is no longer sufficient — decision makers increasingly want to know what is going to happen. The best place to answer that is the giant dataset of unstructured text on the internet. Even the best teams of analysts can no longer try to read everything written. Tools are needed to make sense of it all. By harvesting huge amounts of unstructured text from traditional and social media, organizing that text around the people, events, and time-points found therein, and displaying events from the data with a variety of analytic visualizations, Recorded Future allows an analyst to interact with and understand Big Data in a unique, powerful manner. By recording all that the world knows about the future and making it available for analysis, we can now begin to report not just what happened yesterday but what is likely to happen tomorrow.
The world’s first temporal analytics engine Solution Options The Recorded Future Premium service, a hosted analytic environment on RecordedFuture.com, mines unstructured text from tens of thousands of sources, everything from government agencies to Twitter feeds—and organizes and aggregates the data to provide a temporally aware picture of what the world is thinking. The easy-to-use data and time exploration tools include momentum and sentiment. These calculations contextualize what the web is talking about, and measure how positive and negative that discussion is. With no downloads or plugins needed, users can interact with the data immediately. The Recorded Future technology is also available to be placed behind the firewall on closed networks. Source the local system with internal documents to apply this patented technology on classified materials, and gain temporal insight on the most sensitive of subjects. Marry those insights with an analysis of what’s being said on the open web to get a true wide-angle lens on what both the open-source media and internal agents expect to happen about a subject in the future. Recorded Future’s novel linguistic algorithms allow users to curate predictive signals like never before. Be it from open-source news feeds or classified data, Recorded Future can align people, companies, and events from that text in time.
Rich, browser-based visualizations with no plugins or downloads required.
Record what the world knows about the future and make it available for analysis.
Try It: www.recordedfuture.com
Open Source Intelligence Blog: www.analysisintelligence.com
For More Information: Contact Jason Hines at [email protected] or call 703-584-7511.
Video Demos: www.youtube.com/recordedfuture
www.recordedfuture.com
2111 Wilson Boulevard Arlington, Virginia 22201
