Siemens Expands Industrial Copilot with New generative AI-powered Maintenance Offering

This is the second of four Siemens news items. In the vein of everyone in industrial software is Microsoft’s best friend, Copilot headlines this news. And no news today is complete without mentioning generative AI. 

• The Siemens Industrial Copilot, a generative AI-based assistant, is empowering customers across the entire value chain – from design and planning to engineering, operations, and services
• Siemens expands its Industrial Copilot offering with extended capabilities for Senseye Predictive Maintenance
• The generative AI-powered solution will support every stage of the maintenance cycle, from repair and prevention to prediction and optimization

A glimpse of Siemens’ AI strategy:

The Siemens Industrial Copilot is revolutionizing industry by enabling customers to leverage generative AI across the entire value chain – from design and planning to engineering, operations, and services. For example, the generative AI-powered assistant empowers engineering teams to generate code for programmable logic controllers using their native language, speeding-up SCL code generation by an estimated 60% while minimizing errors and reducing the need for specialized knowledge. This in turn reduces development time and boosts quality and productivity over the long term.

Siemens is developing a full suite of copilots to industrial-grade standards for the discrete and process manufacturing industries – and is now strengthening its Industrial Copilot offerings with the launch of an advanced maintenance solution, designed to redefine industrial maintenance strategies.

Bringing it to maintenance

The Senseye Predictive Maintenance solution powered by Microsoft Azure will be extended with two new offerings:

• Entry Package: This predictive maintenance solution combines AI-powered repair guidance with basic predictive capabilities. It helps businesses transition from reactive to condition-based maintenance by offering limited connectivity for sensor data collection and real-time condition monitoring. With AI-assisted troubleshooting and minimal infrastructure requirements, companies can reduce downtime, improve maintenance efficiency, and lay the foundation for full predictive maintenance.
• Scale Package: Designed for enterprises looking to fully transform their maintenance strategy, this package integrates Senseye Predictive Maintenance with the full Maintenance Copilot functionality. It enables customers to predict failures before they happen, maximize uptime, and reduce costs with AI-driven insights. Offering enterprise-wide scalability, automated diagnostics, and sustainable business outcomes, this solution helps companies move beyond traditional maintenance, optimizing operations across multiple sites while supporting long-term efficiency and resilience.