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Tend launches robot performance management software

 

Tend has launched a cloud-based monitoring and analysis application for both industrial and collaborative robots.

The company calls the software in.view, and launched it at the RoboBusiness show in Santa Clara, CA, this week.

Tend in.view – short for intelligent view – software allows users to remotely monitor and analyze the performance of their production robots in real time from any location, through a secure, cloud-based application on their mobile device, says the company. 

The solution features automated alert notifications, a live and historical video feed of the robots being monitored, and access to important key performance indicators, including event and exception monitoring, job cycle analysis and activity logs.

In addition, in.view allows users to access robot logs and video recordings of the robot cell when issues arise, providing an effective way for systems integrators and in-house support personnel to remotely diagnose and troubleshoot errors.

 

Tend was recently recognized by industry analyst firm Frost & Sullivan as the 2017 Entrepreneurial Company of the Year for Industrial Robotics Software in Discrete Industries, and the in.view application was a major reason why the Boston-based startup was selected, according to officials at both companies.

The in.view application is already being used by systems integrators and large, distributed manufacturing organizations, including a major provider of consumer appliances, Tend says.

Tend CEO Mark Silliman says: “in.view is a breakthrough for manufacturers and systems integrators of all sizes.

“It gives operators and plant managers 24×7 access to valuable insights about their production performance, without requiring the hardware, sensors or extensive integration involved with other smart manufacturing solutions.”

In.view is now available for $250 per month, with no up-front hardware or installation costs and no long-term subscription required.

Tend are exhibiting at booth #102 at RoboBusiness 2017.