Identify Leads, Uncover Clues and Discover Relationships
OSINT and HUMINT Intelligence at your fingertips
Intelligence information -- including cables, field analyst reports,
ship manifests, emails, open source documents and other data feeds --
floods intelligence and other government agencies on a daily basis.
Unfortunately, most “automated” text analysis systems have required
significant human intervention and have been limited to coding,
indexing, keyword search or simple entity extractions that are
inadequate because of imprecise and unpredictable results. Furthermore,
these systems have been unable to fully leverage the breadth of
analytic tools designed for dealing with structured information.
The Attensity Intelligence Analysis solution provides the capability to
automate the extraction of events and relationships from text - not
only who or what, but why, when, where and how, automating the
transformation of text into structured, relational data. The result is
dramatically faster and more comprehensive detection of trends,
anomalies, patterns and linkages, and more time for analysts to respond
to them. Once extracted in this structured form, the information can be
pushed downstream to feed virtually any system that processes
relational tables. Such tabular data can be stored in a shared data
warehouse repository for data mining or link analysis purposes, it can
be input directly to a link analysis tool such as Visual Analytics'
Visual Links, i2's Analyst's Notebook or other analytic applications,
or it could be sent via an automated email alert to an analyst.
"Attensity
addresses one of the most pervasive challenges facing government
organizations today. It enables end users to sort through and analyze
massive amounts of text-based data and take informed action quickly.
Attensity is a highly accurate solution for extracting and classifying
facts, entities and events from language-rich information providing
critical functionality that supports government agencies." - In-Q-Tel
FEATURES AND BENEFITS
- Patented Extraction Engines extract both entities and facts
(triples) from intelligence documents, creating tabular, analysis-ready
data structures from text sources up to 20,000 times faster than a
human analyst
- Out-of-the-box discovery applications enable investigators to
uncover information and make connections ad-hoc -- without having to
define them prior to discovery
- Alerts let investigators know when suspicious patterns arise
- Provides robust handling of "noisy" input, such as poor grammar, misspelled words, shorthand and unknown terms for greater coverage and accuracy
- Integrates easily with existing data sources and third-party systems for complete intelligence analysis capabilities enabling mission success