Critical Manufacturing will demonstrate how manufacturers can move beyond digital transformation concepts and apply them in real production environments using a platform built for complexity, scale, and regulatory demands. During MD&M West, the company will focus on how medtech manufacturers can use MES as the operational backbone, strengthened by enterprise data and practical AI capabilities.
At the core of Critical Manufacturing’s presence at MD&M West is its Manufacturing Operations Platform, which brings together MES, connectivity, data, analytics, and AI to support manufacturing operations as one connected system. Designed for complex and highly regulated environments, the platform helps manufacturers manage execution on the shopfloor while extending insight and intelligence across operations, without compromising control or traceability.
Critical Manufacturing MES is not a standalone system, and in fact, it becomes more effective when combined with enterprise-level data and AI. Its Enterprise Data Platform plays a central role by unifying manufacturing, operational, and business data across plants and systems into a governed, enterprise-wide architecture. This gives manufacturers real-time visibility, the ability to compare performance across sites, and a reliable foundation for continuous improvement and advanced analytics initiatives.
“For life sciences and medical device manufacturers, the challenge is balancing control, compliance, and responsiveness, while ensuring that every product released meets the highest standards of quality and patient safety,” says Paul Straeten, VP Life Sciences at Critical Manufacturing. “At MD&M, we are showing how a Manufacturing Operations Platform that combines MES, governed data, and AI can help manufacturers stay in control while adapting more effectively to change.”
Building on this data foundation, Critical Manufacturing will also showcase its AI Copilot capabilities, including MES Copilot and Analytics Copilot. These tools introduce a more intuitive way for users to interact with MES data through natural-language queries, helping operators, engineers, and managers quickly access information, explore trends, and understand performance without navigating complex interfaces or relying on specialist support. The result is clearer, faster, and more confident decision-making across manufacturing roles.
