Data Search Systems Completes Intelligence Agency Pilot

Data Search Systems Incorporated (DSSI) announced the successful completion of its first paid pilot system for the Federal intelligence market space, where the DSSI technology increased the speed of a text search application by over 20 times compared to that of agency's supercomputer-using commodity hardware. DSSI is now working with that agency to implement a full-scale implementation to replace a massively parallel multi-processor system with a solution costing an order of magnitude less while providing significantly better performance. The engineering team is led by Rod Arbaugh, VP Engineering, a Silicon Valley veteran with over 20 years experience in building product development teams for companies in the financial services and intelligence market spaces. "DSSI attracted me with its top flight team and world-class technology, which can revolutionize the fundamental way we access information. I am excited by the positive results from our pilot in the Federal intelligence space. This gives us a solid beachhead to grow in our first target market," said Arbaugh. "We are extremely positive about the performance of our technology in this application," said Dr. Ron Indeck, Das Family Distinguished Professor of Electrical Engineering, Washington University in St. Louis, and member of the team that developed the technology, "It gives us confidence that the architectural approach adopted by our team in an academic environment is transferable to real world problems." In a pilot earlier in 2004 for a large financial institution's business intelligence requirements, DSSI demonstrated features to pre-filter tabular data, enabling a one to two orders of magnitude decrease in the time required for data retrieval and downstream processing. DSSI will change its name to 'Exegy Incorporated' in January 2005. The root of the word Exegy is 'exegesis', which means extraction of text for analysis and critical explanation. This better connotes what the Exegy systems do -- extract data to create actionable intelligence and knowledge.