Sovren Group Inc, Announces Version 6.0 of Flagship Resume/CV Parser

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Upgraded version adds full parsing for Dutch and Swedish

The key reason was that the technology was very compatible with our own, being Microsoft.Net based. The integration was very easy to achieve and the speed of the processing is excellent, which is one of the key factors to end users of our products. Also, the support and commercial flexibility that our relationship gets is first class.

The Sovren Group Inc, a recruitment intelligence software components company, announces version 6.0 of its flagship Sovren Resume/CV Parser.

This version adds full parsing for Dutch and Swedish, plus contact info parsing for Greek, augmenting its English, French, Spanish and German full parsing capabilities, as well as automatic detection of languages. Sovren’s fourth-generation Semantic Matching Engine is also ready-to-run in the same languages.

Version 6.1, to be released in late 2009, will add full parsing for Greek, with Italian, Russian, Flemish, Polish and Romanian languages also planned.

The upgrades have helped Sovren continue its market-leading growth, with a year to date revenue increase of 83%. Sovren continues to increase its market share, winning customers from every parsing vendor worldwide in 2009. Sovren’s customers span six continents, and Sovren has added major ATS customers in the U.S., Australia and European markets in the last quarter, as well as large and small staffing customers.

“Safe Computing chose to closely partner with Sovren and integrate the technology into the heart of our solutions,” said Jason Martin, Commercial Director. “The key reason was that the technology was very compatible with our own, being Microsoft.Net based. The integration was very easy to achieve and the speed of the processing is excellent, which is one of the key factors to end users of our products. Also, the support and commercial flexibility that our relationship gets is first class.”

Sovren does not price per-transaction, because the per-transaction model does not benefit the customer. Customers of Sovren competitors who are on transactional pricing have seen their 2009 costs skyrocket even as their revenues have not. Sovren’s customers have benefited from 100% predictable pricing, and do not fear increases in resume and CV volumes.

“We recently moved from a competitor that charged per parse,” stated Sean Pomeroy, CEO of Visibility Software. “By moving over to Sovren we were able to recognize a fixed cost model, while not restricting our customers’ transactions in any way, resulting in more sales and a business model that made sense.”

The majority of job boards that use external parsing use Sovren technologies. Sovren’s share of the job board parsing market likely exceeds 80% as measured by transaction volume. The two largest job boards in the world employ Sovren parsing as infrastructure, as do niche-dominant boards such as The Ladders. Sovren’s products underlie more recruitment transactions worldwide than all the other vendors’ products combined, with an estimated current rate of 300 million transactions per year. Transactional volume includes both parsing and matching transactions across all customer types.

About The Sovren Group:
The Sovren Group, Inc. is a privately held software-components-only firm established in 1996.

Sovren develops and markets a full suite of enterprise grade, global, multi-lingual recruitment intelligence components, including the Sovren Résumé /CVParser and the Sovren Semantic Matching engine. Sovren components provide more efficient and effective tools for managing prospective talent information. Sovren’s solutions are used in job boards, applicant tracking systems, corporate HR, research firms and HRIS systems worldwide. For more information please visit our web site at http://www.sovren.com or contact Ken Smith at sales (at) sovren (dot) com or +1-713-562-1800 x1.

This press release was distributed through eMediawire by Human Resources Marketer (HR Marketer: http://www.HRmarketer.com ) on behalf of the company listed above.

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