LEDAS Ltd., an independent provider of software components and services for the Product Lifecycle Management (PLM) market, today announced that its partnership with Dassault Systèmes Russia Corp. and ENOVIA Corp. enabled Dassault Systèmes (DS) to fully localize ENOVIA SmarTeam product data management (PDM) solutions to Russian on time with outstanding end-quality.
«When Dassault Systemes faced the localization challenge for the Russian market, their main concern was meeting strict quality and schedule requirements,» said David Levin, Chief Executive Officer, LEDAS Ltd. «Since ENOVIA SmarTeam is a very technical product, they proceeded very cautiously about selecting the right localization partner with good knowledge of both English and Russian terminology as well as PDM experience.»
«Software product localization is a must-have feature for the success on the Russian PLM market. We understood it when we entered the Russian market with our flagship product brand CATIA,» said Laurent Valroff, Director of Dassault Systèmes Russia Corp. «We took a definitive decision to localize ENOVIA SmarTeam for Russian market in 2007. Having evaluated many vendors, LEDAS Ltd. won our confidence. Their deep technical understanding of PDM concepts and tools, their top-down localization process that enables the reuse of translation memory, and their excellent support and reasonable prices made them the obvious choice for us. The quality, timeliness and efficiency of the work done by LEDAS met the stringent timeline and requirements of Dassault Systèmes from the outset.»
The project involved the translation, review and production of more than 300,000 terms in the field of PDM, contained in graphical user interface and online help of ENOVIA SmarTeam product line. In coordination with the Russian office of Dassault Systèmes and the Israeli office of ENOVIA Corp. (a subsidiary of Dassault Systèmes), LEDAS Ltd. played a major role in the management, execution and delivery of the project, which was performed in 12 weeks. «Our managers who speak Russian emphasized the high-quality translation of complex technical terms and concepts made by LEDAS specialists,» said Oleg Shilovitsky, Chief Technology Officer, ENOVIA SmarTeam. «LEDAS’ excellent work allowed Dassault Systèmes to announce and demonstrate the localized version of ENOVIA SmarTeam at PLM Forum Russia, held in Moscow on October 11, 2007.»
About ENOVIA SmarTeam
ENOVIA SmarTeam provides collaborative offerings focused on product development, which support design, engineering and enterprise activities. A unified platform for all ENOVIA SmarTeam products enables collaboration between users representing different areas. Companies can scale up to collaborate across global organizations or supply chains, according to their needs. In September the leading PLM analyst CIMdata credited ENOVIA SmarTeam Express with increasing Dassault Systèmes presence in the PLM mid market from 2006 to 2007. Integrated with DS’s CATIA PLM Express, ENOVIA SmarTeam Express offers mid-range companies an easy-to-implement collaboration solution that can expand modularly to accommodate their growing PLM needs.
About LEDAS
LEDAS Ltd. is an independent software company founded in 1999; it is based in Novosibirsk Scientific Centre (Akademgorodok), Siberian Branch of the Russian Academy of Science. A leader in constraint-based technologies, LEDAS is a well-known provider of computational software components for PLM (Product Lifecycle Management) and ERP (Enterprise Resource Planning) systems: geometric constraint solvers for CAD/CAM/CAE, optimization engines for Project Management, Work Scheduling and Meeting Planning as well as interval technologies for Knowledge-Based Engineering and Collaborative Design.
The company also provides services for PLM and ERP markets: software development, consulting, reselling as well as education and training. More information about LEDAS is available on the Internet at: www.ledas.com.
Contact
LEDAS Sales and Marketing Department
Phone: +7 383 3356 504
fax: +7 383 3356 256
email: info@ledas.com