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Coretech Knowledge, Inc.

Coretech Knowledge was formed with members from the core team of the Knowledge Engineering Lab of Department of Information Science, National Chiao Tung University (NCTU) since July, 2000. We mainly merchandise visionary technologies with commercial value developed from academic research by means of technological transfer and make modifications according to the actual needs of businesses to accumulate marketing experience and to devote to the R&D of knowledge engineering technologies and industrial application systems. In addition to developing utilities and expert system modules with advanced technologies, Coretech Knowledge continues to develop IT systems to meet the application needs of businesses and to provide industries with technical support and software development services according to the belief in IT software technology and services.


Region China/HK/Taiwan/S.Korea
Product focus ECM - Content Lifecycle Management;ECM - eMail Solutions;ECM - Enterprise Archive;ECM - Learning Management;ECM - Mobile Solutions;ECM - Captiva;ECM - Capture & Recognition;ECM - InfoArchive;ECM - LEAP;ECM - Clinical Archiving;ECM - Documentum Platform;ECM - ECD Value Office Solution: Healthcare;ECM - Document Sciences;ECM - ECD Value Office Solution: Energy & Engineering;ECM - ECD Value Office Solution: Lifesciences;ECM - Kazeon;SALT - Actuate;ECM - PIXEL;ECM - OpenText Application Content Management
Type of partnership Reseller
Industry focus Automotive;Financial Services;Insurance;Manufacturing;Computer Software;Healthcare;Professional Services
Partner level Bronze

Products and Services Overview

In the high-tech manufacturing & finance domain,  we are the specialist supplier of knowledge systems, trustworthy specialist data analysis team for customers and consultation and R&D of technologies related to knowledge systems  Implementation and construction of knowledge systems.    We provide the professional service and produces to help our customers converting heterogeneous data of enterprises into applicable knowledge through efficient software operations, integrating heterogeneous IT systems and engineering data software and present outputs with intelligent analysis in order to form an expert system delivering recommendations for decision-making.

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