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QualiTest Independent Test Center Helps Telecom Operator to Enhance Triple-Play Infrastructure.
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Gybe Systems was established by a team of highly experienced technological and business veterans. The company provides Next Generation Network solutions for network operation centers, network monitoring and network optimization, with its exclusive team of experienced professionals. Gybe Systems products are developed by a highly advanced R&D center in China. We offer comprehensive products and services, delivering innovative technologies for network performance analysis, maintenance and optimization. Our solutions provide the competitive edge needed for all types of networks, enabling operators to provide end-users with unmatched level of network availability, stability and performance.
NetVista® - Network Performance Analyzer is an active monitoring tool for end-to-end network performance evaluation. By using a quick launched Instant Agent, NetVista® can test and analyze customer's network performance and application service performance from any web browser.
The GSM&UMTS Optimizer is a revolutionary solution for GSM&UMTS network optimization based on Measurement Report (MR) and other signaling data from Abis/Iub and A/Iu interface. The Optimizer supports collecting MRs from different kind of vendor’s equipment. This data can be collected by ABIS/ Iub interface based on hardware probes, or from OMC-R of networks by Call Trace Record (CTR) function. The Optimizer provides powerful functionalities for RF optimization, KPI monitoring, Customer Experience Management (CEM) with call drop analysis in a single platform.
The PS suite provides a comprehensive subscriber and application centric management solutions for mobile data service quality assurance, and a complete solution for business intelligence, troubleshooting and performance analysis. The solution can be widely used for GSM/GPRS, UMTS, TD-SCDMA, CDMA2000 and LTE network environments. Gybe’s Packed Service product family includes several software applications as the following to fit various customer usage models: