Munich, 23. September 2025 – Xplain Data GmbH will be showcasing its latest solutions in the field of Causal AI at productronica (November 18–21, 2025, Munich Exhibition Center).

In Hall B2, Booth 369/3, the company will demonstrate how electronics manufacturers can utilize automated, AI-powered root cause analysis to enhance efficiency, stability, and transparency in their manufacturing processes.

CausalDiscoverer YieldPro: Identify causes, safeguard quality.
CausalDiscoverer YieldPro automatically analyzes all factors that influence quality in processes and design. At the touch of a button, it also uncovers hidden causes of design-related errors and sustainably reduces electronics production failures. Manufacturers benefit from higher yields, optimized product quality, accelerated processes, and reduced quality costs.

The platform enables intuitive, scalable modeling of causal relationships across the entire production process, allowing experts to focus their efforts on the key parameters.

Causal DiscoveryBot: Live production monitoring.
The autonomous Causal DiscoveryBot integrates root cause analysis (RCA) directly into production.
While continuously monitoring production data, it quickly detects upcoming quality risks and alerts those responsible in real time - via e-mail or messenger. This allows problems to be contained immediately before they cause major disruptions.

“In electronics manufacturing, the ability to identify causes rather than symptoms is crucial to quality and competitiveness. With our patented Causal AI, we make exactly that possible - evidence-driven, automated, and ready to use,” explains Dr. Michael Haft, CEO of Xplain Data GmbH.

Xplain Data’s algorithms are purpose-built to identify the few significant causal relationships hidden within massive volumes of production data. The company has been recognized as a leader in the 2025 Gartner AI Hype Cycle, named an IDC Innovator in “Industrial AI Applications and Solutions” in 2024, and is a member of the Siemens Xcelerator platform.