Regency Gas Services Selects Triple Point Software to Manage Counterparty Credit Risk for Energy Commodities

Westport - 11 November 2010

Triple Point Technology®, the leading provider of multi-market commodity and enterprise risk management software solutions, announced today that Regency Gas has selected Triple Point’s flagship counterparty credit risk and credit scoring software to manage credit risk processes for its growing natural gas and natural gas liquids (NGLs) business.

Regency Gas Services is a midstream natural gas services provider that specializes in the gathering and processing, contract compression, and transportation of natural gas and NGLs. Regency Gas focuses on servicing the most prolific natural gas producing regions in the United States.

“Triple Point's credit risk management software provides Regency Gas with a platform that effectively manages counterparty credit risk for energy commodities and delivers an accurate perspective of enterprise-wide credit exposure and liquidity obligations,” said Dan Reid, VP, credit risk division, Triple Point. “We are proud to welcome Regency Gas into our growing community of world-class energy and commodity clients.”

Regency Gas joins other leading companies that have selected Triple Point’s credit risk management software to manage counterparty exposure in the commodity management supply chain, including PPL Services, The Energy Authority, Electrabel, New York's Independent System Operator (NYISO), Electric Reliability Council of Texas (ERCOT), ConocoPhillips, Suncor Energy, Iberdrola Renewables, Southern California Edison, BG Group, Gavilon, Bruce Power, FirstEnergy, and Williams.

Triple Point was voted #1 Credit Risk Software Vendor in Energy Risk’s software survey, polling users of ETRM software. Triple Point’s flagship counterparty credit risk management software, Commodity XL for Credit Risk™, provides a real-time, integrated credit process for efficient and accurate credit analysis and decisions. Latency is removed from the work flow so conclusions are neither delayed nor based on incomplete data. Additionally, energy and commodity organizations can leverage the information to make risk-adjusted decisions, utilize best practice methods for reducing credit risk exposure, and improve internal and external transparency.

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