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Home » Robotics » Kryon Introduces ConsoleX, a Next Generation Console for Full-Cycle Automation Analytics

Kryon Introduces ConsoleX, a Next Generation Console for Full-Cycle Automation Analytics

April 19, 2020
SupplyChainBrain

Kryon, a full-cycle automation solutions provider, recently unveiled ConsoleX, an advanced web-based management and monitoring dashboard that lets its users configure, schedule and manage virtual workforces comprised of Kryon robots.

 

Based on the NGINX server platform, ConsoleX features a new dashboard, and allows users to spot changes quickly in expected robot execution, identify bottlenecks, identify their sources and perform corrective actions. Customizable advanced analytics provide immediateinsights that highlight areas that require attention. ConsoleX enables businesses to manage virtual workers with full visibility by assigning workloads, monitoring task status and performance and accessing smart analytics to help optimize overall performance.

 

“An automation project isn’t over just because it’s up and running. As more and more businesses implement automation processes, they need stronger tools to continually monitor, analyze, troubleshoot and scale up their RPA solutions,” said Harel Tayeb, CEO of Kryon. “Kryon’s Full-Cycle Automation Suite, the only solution of its kind on the market today, lives up to its name by ensuring optimal performance from start to finish. Most importantly, it already has a proven track record in the field and a rapidly growing base of happy customers.”

 

About Kryon 

Kryon is a leader in enterprise automation, offering the only platform on the market which encompasses both Process Discovery technology and Robotic Process Automation. The Kryon Full-Cycle Automationsolution maximizes ROI and cuts RPA implementation time by up to 80 percent. Powered by proprietary AI technology, Kryon Process Discovery automatically generates a comprehensive picture of business processes, evaluates them and recommends which ones to automate. Kryon offers desktop-based attended RPA, virtual-machine-based unattended RPA or a hybrid combination of both.

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