Engenium's Semetric V.5.0 Uses Intelligent Resource Management to Dramatically Increase Scalability; New Release Provides Tools to More Efficiently Manage System Resources

DALLAS--(BUSINESS WIRE)--Aug. 22, 2006--Engenium has just introduced the newest version of its Semetric(R) searching technology. Semetric V.5.0 is an innovative technology that uses conceptual meaning and context in addition to traditional keywords to perform highly efficient and accurate searches. The search and discovery platform was developed with the idea that the ambiguity of the English language can often lead search engines that depend on keyword searching to irrelevant or undesirable results. With Engenium's patented conceptual search and clustering capabilities as well as built-in keyword and parametric search functionality, users can rapidly find and navigate information that would be time-consuming or impossible to find via traditional methods.

Engenium realizes the need to respond to the explosive growth in volume and complexity of electronic data discovery events. Semetric V.5.0 introduces several new features to an already robust feature set dramatically increasing its scalability and manageability. Engenium's intelligent resource management module includes: Enhanced Data Manageability; On-Demand Caching; and Disk Based Access.

Intelligent Resource Management

Engenium has extended the architecture to allow for Enhanced Data Manageability. Most simply, Enhanced Data Manageability delivers the ability to selectively move data populations 'online' and 'offline,' the result is a streamlined staging to production process for data populations.

The second component of intelligent resource management module is, On-Demand Caching. In an effort to better the utilization of scarce memory resources, On-Demand Caching keeps only the most recently accessed Semetric 'object cache' in memory, automatically unloading the idle objects to make room for the active objects. On-demand caching greatly increases the amount of data that can be hosted on a single server.

Semetric V.5.0's Disk-based Access adds the option of enabling a disk-based access mode, which allows for the conceptual index or 'brain' to be accessed from disk and not only from system memory. Disk-Based Access allows for organizations to utilize their investments in large storage devices, and significantly increase the amount of information that can be conceptually searched and clustered.

"Our customers have asked for better ways to leverage their hardware infrastructure investments, like EMC and Network Appliance storage systems," said Dave Chaplin, President of Engenium. "Semetric V.5.0 allows them to maximize their hardware investments that are required for large scale and complex discovery environments."

About Engenium

Engenium Corporation -- the recognized leader in conceptual search and clustering technologies and provider of award-winning Semetric(R) and Autometric(TM) -- enables organizations to rapidly search and cluster structured and unstructured information. The search and discovery platform's embedded design powers Microsoft- and Java-based applications and is currently deployed in numerous defense, intelligence, and commercial applications. Semetric's and Autometric's unparalleled accuracy, high performance, and ease of deployment has been recognized and selected by organizations such as Northrop Grumman, Korn/Ferry, the Fios, Inc., and many others.

Additional information can be found at www.engenium.com