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Founded in 1981, POGO originally worked to expose outrageously overpriced military spending on items such as a $7,600 coffee maker and a $436 hammer. In 1990, after many successes reforming military spending, including a Pentagon spending freeze at the height of the Cold War, POGO decided to expand its mandate and investigate waste, fraud, and abuse throughout the federal government. Throughout its history, POGO’s work has been applauded by Members of Congress from both sides of the aisle, federal workers and whistleblowers, other nonprofits, and the media. Founded in 1981, the Project On Government Oversight (POGO) is a nonpartisan independent watchdog that champions good government reforms. POGO’s investigations into corruption, misconduct, and conflicts of interest achieve a more effective, accountable, open, and ethical federal government.
Peoria Public Library is a Peoria, IL-based company in the Business Services sector.
RKV Investments Inc is a Arlington, TX-based company in the Business Services sector.
Tele-Measurements is a Clifton, NJ-based company in the Business Services sector.
Pneuron offers a new design, deployment, and execution paradigm to help businesses meet today’s rapidly changing and complex information systems challenges. By distributing lightweight, fixed-function, processing objects to targeted individual source systems, Pneuron creates a powerful processing network which sidesteps the time and cost penalties of today’s centralized approaches. Using a single, integrated platform, businesses are able to iteratively build and deploy solutions which solve the challenges of distributed data, applications and infrastructure. Pneuron has broken the centralization paradigm that dominates most conventional architectures, and implemented a distributed model where data extraction, analytics, and logical operations are effectively processed at the source system. This focuses processing on only those subsets of information that meet specific business requirements while avoiding large scale migration, normalization, and processing of non-target data. Results show up to 50% improvement in time and cost in development and deployment of business solutions compared to traditional approaches.