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Industry Summary Articles

Monday, October 27, 2025

Siemens and rhobot.ai advance collaboration with specialized, edge-native AI for manufacturing solution now accessible on Siemens Xcelerator

Siemens, a global leader in industrial automation technology, and rhobot.ai, a pioneer in probabilistic artificial intelligence for industrial systems, announced the next step in their collaboration with the commercial availability of their advanced AI solution for manufacturing.

Following a highly successful deployment at CarbonAMS in Ireland, this specialized, edge-native
AI is now accessible through the Siemens Xcelerator digital marketplace, marking a significant step forward in industrial optimization and control.

This collaboration brings to market a unique form of artificial intelligence, distinct from language models and copilots, designed specifically to perform the "math of manufacturing operations." It integrates directly with factory automation hardware and software on the industrial edge, enabling real-time optimization, tuning, and control of processes.

The journey began with initial validation work in 2024 with Agbotic Inc., the predecessor to rhobot.ai, where the AI-driven optimization approach was first piloted in robotic greenhouses. This foundational work has matured into rhobot.ai's robust solution, now ready to transform diverse industrial environments.

The successful deployment at CarbonAMS's anaerobic digester facility in Ireland stands as a testament to the solution's power. Without any downtime, CarbonAMS utilized the rhobot.ai Siemens Edge solution to achieve remarkable results:

  • 39% decrease in digester parasitic load
  • 2.5% increase in gas output

These efficiencies represent a potential annual value of over $1 billion across Europe’s 20,000 digesters, underscoring the solution's significant impact on sustainability and profitability. CarbonAMS anticipates continuous improvements and plans to deploy the application across its portfolio and beyond.

Patrick Harte, CTO of CarbonAMS, commented, "We could not be more pleased with this two-week result using rhobot.ai artificial intelligence on Siemens edge devices. We expect continuous gains with the ability to analyze unlimited combinations of process inputs that we could never test before. We look forward to installing this AI capability across our portfolio and working with Siemens and rhobot.ai to deploy it across the anaerobic digester market and other manufacturing sectors in Europe."

Edge-Native AI: The Language of Machines
"AI in industrial automation has evolved from promise to performance," said John Parrott, Vice President at Siemens. "With rhobot.ai, we’re not just monitoring or predicting—we are optimizing, tuning, and controlling with AI that speaks the language of machines rather than people. That’s a game-changer with AI that improves efficiency and sustainability to bolster the health of industry rather than replace people.”

The rhobot.ai solution is engineered to run directly on the factory edge, seamlessly integrating with existing industrial controllers. It intelligently auto-queries, analyzes, tunes machine settings, and refines control logic in combination with other process inputs, all while meeting the high reliability and control demands of serious industrial operators.

"Our platform doesn’t simulate reality—it learns from it," said John Gaus, CEO of rhobot.ai. "By working directly with real process and machine data and real controller logic, we unlock a level of responsiveness and accuracy previously not achievable. We are thrilled to be working with Siemens on this initiative and to be a part of the world-leading Siemens Xcelerator Marketplace.”

This milestone reflects the maturing of edge-native AI, deployed on Siemens IPCs and Industrial Edge Devices, that directly communicates with machines, driving a new era of intelligent manufacturing.

Availability:
The rhobot.ai specialized AI solution is now available globally through the Siemens Xcelerator digital marketplace.

To view the original press release, please click here.

Search for Siemens on CIMdata.com

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