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Tom Sawyer Software to Exhibit at ISS in Washington, DC

Visit Tom Sawyer Software at ISS for a Demonstration of our Latest Crime Network Application

Berkeley, CA, September 21, 2015—Tom Sawyer Software invites you to visit us at ISS in Washington, DC to see the powerful graph visualization and analysis capabilities of Tom Sawyer Perspectives. Our Lead Solutions Engineer, Joshua Feingold, will be demonstrating applications from a wide variety of industries, including our latest crime network application. This application displays crime incidents within the city of Seattle over a span of two years, and features our new timeline view for visualizing data and trends over time. This conference will be held from September 29 to October 1, 2015.

Tom Sawyer Software assists enterprises and governments in building and deploying sophisticated graph visualization applications. From fraud analytics and intrusion detection, to national security and public safety, Tom Sawyer Software offers sales and services to help organizations from a broad array of industries to visualize their complex data from multiple data sources.

ISS World America is the world's largest gathering of North American Law Enforcement, Intelligence and Homeland Security Analysts as well as Telecom Operators responsible for Lawful Interception, Hi-Tech Electronic Investigations and Network Intelligence Gathering and Sharing.

About Tom Sawyer Software

Tom Sawyer Software is the leading provider of software and services that enable organizations to build highly scalable and flexible graph and data visualization and analysis applications. These applications are used to discover hidden patterns, complex relationships, and key trends in large and diverse datasets. Tom Sawyer Software serves clients with needs in link analysis; network topology; architectures and models; schematics and maps; and dependencies, flows, and processes. We help clients federate and integrate their data from multiple sources and build the graph and data visualization applications that are critical to analyzing and gaining insight into their data.

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