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SPS 2025: AI-based development of automation apps
At SPS 2025, logiccloud will present the new version of its software-defined automation platform. In addition to numerous new features and improvements, one highlight takes center stage: an AI assistant revolutionizes the development of automation apps and shows how we will create automation solutions in the future.
SPS 2025: AI-based development of automation apps
logiccloud is presenting the new version of its Software Defined Automation platform at SPS 2025. In addition to numerous new features and improvements, one highlight will take center stage: an AI assistant revolutionizes the development of automation apps and shows how we will create automation solutions in the future.
SPS 2025: Create Automation Apps Easily, Quickly, and Effectively
Traditionally, the hardware PLC has been the heart of every machine. Individual cells and machine modules are then connected via additional PLCs to form modular production lines—so in large plants, dozens or even hundreds of controllers are often in use.
Automation rethought: app instead of PLC + HMI
Traditionally, the hardware PLC is the heart of a machine. Individual cells and system components are in turn connected via further PLCs to form modular production lines, meaning that several dozen to a few hundred of these controllers are quickly used in large systems.
logiccloud On-Premises: Full data control without cloud connection
Many companies in the mechanical and plant engineering sector deliberately avoid public cloud solutions - whether for security reasons, due to compliance requirements or because of the US CLOUD Act, which allows authorities to access data from US hosts outside the USA.
Manage edge software uniformly: logiccloud becomes Margo-compliant
Digitalization in industrial automation requires flexible, reliable and hardware-independent software solutions. However, when it comes to edge controllers in particular, many users face a problem: different hardware manufacturers rely on different deployment technologies such as Docker, Podman or Snap. This complicates the selection, installation and management of software - and slows down innovation processes.
SPS 2025: AI-based development of automation apps
At SPS 2025, logiccloud will present the new version of its software-defined automation platform. In addition to numerous new features and improvements, one highlight takes center stage: an AI assistant revolutionizes the development of automation apps and shows how we will create automation solutions in the future.
SPS 2025: AI-based development of automation apps
logiccloud is presenting the new version of its Software Defined Automation platform at SPS 2025. In addition to numerous new features and improvements, one highlight will take center stage: an AI assistant revolutionizes the development of automation apps and shows how we will create automation solutions in the future.
SPS 2025: Create Automation Apps Easily, Quickly, and Effectively
Traditionally, the hardware PLC has been the heart of every machine. Individual cells and machine modules are then connected via additional PLCs to form modular production lines—so in large plants, dozens or even hundreds of controllers are often in use.
Automation rethought: app instead of PLC + HMI
Traditionally, the hardware PLC is the heart of a machine. Individual cells and system components are in turn connected via further PLCs to form modular production lines, meaning that several dozen to a few hundred of these controllers are quickly used in large systems.
logiccloud On-Premises: Full data control without cloud connection
Many companies in the mechanical and plant engineering sector deliberately avoid public cloud solutions - whether for security reasons, due to compliance requirements or because of the US CLOUD Act, which allows authorities to access data from US hosts outside the USA.
Manage edge software uniformly: logiccloud becomes Margo-compliant
Digitalization in industrial automation requires flexible, reliable and hardware-independent software solutions. However, when it comes to edge controllers in particular, many users face a problem: different hardware manufacturers rely on different deployment technologies such as Docker, Podman or Snap. This complicates the selection, installation and management of software - and slows down innovation processes.
