Viking Analytics and VKT Unite for AI-Powered Predictive Maintenance with MultiViz
Viking Analytics and Vibration & Konsultteknik (VKT) of Stenungsund have recently sealed an innovative collaboration through a new business agreement. This alliance equips VKT with the AI-powered vibration analytics tool, MultiViz, aimed at enhancing internal condition monitoring while being offered alongside VKT's services and sensor systems. Together, they present a scalable predictive maintenance solution tailored for all customers. By amalgamating wireless and wired vibration sensors from various suppliers with MultiViz, the collaboration aims to provide optimal solutions customized to individual customer needs.
CEO of VKT,
VKT predominantly serves industries in
Viking Analytics
Scalable Predictive Maintenance as a service
Viking Analytics has been a frontrunner since 2017, revolutionizing industries like maintenance companies, OEMs, and system integrators. Their dedication to predictive maintenance and data analysis reflects in MultiViz, a specialized tool empowering organizations to monitor and comprehend machines with unparalleled precision. This AI-driven solution not only identifies machines requiring attention but also offers detailed insights for maintenance recommendations. Collaboration with experts allows continuous feedback, enabling the tool to learn and evolve. MultiViz's collaborative approach ensures reduced false alarms, enabling companies to focus on timely attention to the right machines and measurements.
VKT - Vibration & Konsult Teknik AB
Helping the industry towards better availability
VKT is a maintenance company from Stenungsund and specializes in delivering diverse condition monitoring systems to industries, spanning wireless to continuous systems. Their aim is to guide clients toward the most reliable systems, enhancing availability and uptime regardless of equipment or brand. Notably, they offer products from CTC, known for its wide array of vibration sensors suitable for various installations.
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SOURCE Viking Analytics AB
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