Sfile Announces Unprecedented Processing Speeds With HPC Predictor Engine Technology

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Sfile Technology Corporation, a leading provider of Big Data Processing and Analytics with a SaaS-based delivery of eDiscovery, litigation support, and collaborative workspace solutions offered through a disruptive end-to-end pricing model, is proud to announce today the proven and unprecedented processing speeds of the Sfile HPC Predictor Engine.

According to CEO, Frank Perez, “Sfile’s HPC Predictor Engine technology has only barely been tapped. In the near future, Sfile will be able to offer richer data analytics and new product offerings that will fully take advantage of this new technology.”

Sfile Technology Corporation, a leading provider of Big Data Processing and Analytics with a SaaS-based delivery of eDiscovery, litigation support, and collaborative workspace solutions offered through a disruptive end-to-end pricing model, is proud to announce today the proven and unprecedented processing speeds of the Sfile HPC Predictor Engine. The Sfile HPC Predictor Engine is a supercharged massive parallel processing engine with an integrated, proprietary, patent pending technology which leverages the latest multi-core, multi-processor commodity servers.

With such innovation, the talented development team at Sfile is indeed transforming commodity servers into High Performance Computing Servers. The Sfile HPC Processor for ESI gives our partners the unique advantage of a risk-based pricing model to predict future outcomes based on real world experiences to disrupt the inefficient and risky practice of data being transferred from one system to another. With the advantage of the HPC Predictor Engine for parallel processing, Sfile achieves an average rate of processing electronically stored information at 154 gigabytes per hour on one industry standard server – where industry claims averages of 76 gigabytes per hour.

Along with our fast ESI processing speeds, the Sfile HPC Processor can convert native files to black and white TIFF images for document production, with an industry-standard load file, at an incredible rate of 6 minutes per gigabyte! This yields unheard-of performance results in both the processing and production stages, which allow us to offer huge efficiencies and cost savings into the marketplace while at the same time, creating a high degree of predictability to overall eDiscovery cost. “With this advantage and our ability to manage price risk, Sfile will be able to extend even greater value and cost savings to our partners and in turn, end users,” says Kevin O’Connell, President of Sfile Technology Corporation.

For an ever growing and evolving eDiscovery industry that demands new pricing and performance models, this advantage is essential. The proprietary and faster data processing technology allows Sfile to deliver high-quality solutions to its partners and provide realistic prices for eDiscovery services. The Sfile HPC Predictor Engine extends the reach of discovery and its status as the premier eDiscovery technology solution by capitalizing on the efficient use of highly available resources. According to CEO, Frank Perez, “Sfile’s HPC Predictor Engine technology has only barely been tapped. In the near future, Sfile will be able to offer richer data analytics and new product offerings that will fully take advantage of this new technology.”

Sfile’s leadership and ongoing innovation clearly demonstrates its ultimate vision to leverage creative engineering to change the economics of marketplaces with disruptive technology. According to Mr. Perez, “The innovators in our marketplace are looking beyond traditional methods and finding solutions to all sorts of problems. Big Data is a reality and we have to adapt in order to face this tidal wave threatening to overwhelm businesses everywhere. Technology like the HPC Predictor Engine will not only defend us against this threat, but will be leveraged to empower us to gain better insight and even greater possibilities. The future is bright.”

About Sfile
Sfile is a leading provider of Big Data Processing and Analytics with a SaaS-based delivery of eDiscovery, litigation support, and collaborative workspace solutions designed to support electronic discovery and document review. Sfile’s solutions are offered through an international network of channel partners and hosted in Sfile’s data center. The Sfile platform is delivered in a true Software-as-a-Service (SaaS) model and operates in a multi-tenant environment with high performance parallel processor engines to support ESI processing and analysis. This enables Sfile to offer a market-changing disruptive pricing model that immediately provides economic benefits to Channel Partners, Law Firms and Corporations. Sfile can be found on the web at http://www.sfile.com.

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Karla Montejo
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