Commerical and Enterprise Class Solutions
DiscoverText
DiscoverText is our web-based solution designed for the private sector. Companies using DiscoverText can gain insightful and meaningful feedback about their customer and their products. Powered by SIFTER™, with the ability to pull in thousands of documents from emails, blogs, Twitter and RSS feeds, DiscoverText can help you filter through the noise and help you gain the knowledge you're looking for.
SIFTER™
SIFTER™ is the proprietary engine that drives DiscoverText, the FOIA Toolkit and PCAT. Our SIFTER™ engine powers many of the functions such as importation, redaction, clustering and classification. Currently, SIFTER™ is a closed-loop system however we certainly have plans to present an API in the future so third-party applications can take advantage of our data and processes.
CloudExplorer
Most traditional tag clouds such only give you a static view of the terms in your text, however, the DiscoverText CloudExplorer allows you not only to visualize the most frequent terms in your archives, but also allows you to customize the terms, term colors, and drill down into your archive by searching directly in DiscoverText on the terms.
FOIA Toolkit
The FOIA Toolkit is an invaluable tool for state and federal agencies to handle large numbers of documents. Our electronic discovery tools help agencies to respond to legal exigencies. DiscoverText delivers key features for eDiscovery, FOIA and public comment response at a lower cost. The “FOIA Toolkit” is latest component of SIFTER™ within DiscoverText developed specifically in response to requests from a USDA FOIA officer for redaction processing capabilities.
PCAT
PCAT is Web-based, university-hosted software engineered for the specific task of reviewing public comments submitted via the Federal Docket Management System. PCAT is actually version 2.0 of the Coding Analysis Toolkit (CAT), therefore it is also useful for sorting all kinds of CAT-style datasets. If you have lots of digitized text, you can form a team of peers, create a project, upload data, discover important themes and issues, and organize your analysis with PCAT. The PCAT platform has been designed in a manner so as to easily enable it to write wrappers for connecting to alternative data sources via common APIs. This will allow us to interface our code to other applications, such as Microsoft’s SharePoint and IBM’s Lotus Notes. This will also provide us with alternative data sources for ingestion and storage.