TLDR: Copia Automation has announced the integration of generative AI into its DeviceLink™ product and the launch of Copia Copilot, an AI-powered tool. These innovations aim to bolster operational technology (OT) cyber resilience by providing human-readable summaries of complex code changes and to streamline industrial code management for controls engineers through automated documentation, translation, and generation.
NEW YORK, October 22, 2025 – Copia Automation, a frontrunner in Industrial Code Lifecycle Management, has unveiled significant advancements in operational technology (OT) cyber resilience and code management through the strategic integration of generative artificial intelligence (AI). The company’s flagship DeviceLink™ automated backup and Disaster Recovery product now features embedded generative AI, alongside the introduction of Copia Copilot, an AI-powered tool designed to revolutionize how controls engineers interact with industrial code.
The integration of generative AI into DeviceLink™ is poised to transform operational security and efficiency for manufacturers. This new application of Copia’s cross-platform AI automatically translates intricate industrial control code changes—spanning PLC, HMI, and robot programs—into clear, human-readable summaries. These descriptions are seamlessly integrated into change notifications, DeviceLink’s job history, and Git-based workflows, enabling engineers and security teams to instantly grasp the impact of any modification without the laborious task of manually parsing complex code. This enhanced visibility is critical for rapidly identifying unauthorized code changes and restoring systems from verified backups, thereby minimizing downtime and ensuring business continuity in an era of escalating ransomware threats targeting OT environments.
Industry experts have lauded Copia’s innovative approach. Sebastián Trolli of Frost & Sullivan stated, ‘Copia is setting a standard of excellence, for every manufacturer, at every scale.’ Alexander Wurm, Principal Analyst at Nucleus Research, added, ‘Copia’s approach to AI integration mirrors what customers demand. Keeping humans in the loop while removing barriers to understanding complex code changes that directly impact downtime costs.’ Wurm further noted that Nucleus Research had previously documented significant returns for Copia customers, benefits that are expected to multiply with the new AI capabilities in DeviceLink.
Further expanding its AI footprint, Copia Automation has launched Copia Copilot, an AI-powered tool specifically engineered to assist controls engineers. Copia Copilot is designed to enhance productivity, efficiency, and code quality by automating routine coding tasks and simplifying complex processes. Its features include automatic code documentation, seamless translation between programming languages like Ladder Logic and Structured Text, intelligent code summarization, and capabilities for code modification and generation of boilerplate routines and custom code blocks. This tool empowers OT engineers to streamline development processes, reduce errors, and maintain high standards of quality, security, and compliance.
Adam Gluck, CEO and founder of Copia Automation, emphasized the company’s vision, stating, ‘Our vision is clear: we want to be the leader in AI for Industrial Code.’ He highlighted that Copia Copilot is the initial step in a long-term strategy to deeply embed AI into industrial code management, aiming to redefine industrial automation workflows and empower engineers with smarter tools.
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Copia Automation, headquartered in New York City and a member of the World Economic Forum as a Technology Pioneer in Manufacturing, continues to lead in Industrial DevOps. Its platform provides centralized, visible, and controlled management of automation code, treating it as a critical asset. By integrating practices such as automated backup and recovery, Git-based version control, and collaborative change management directly into the OT environment, Copia is building cyber and operational resilience essential for the AI-driven factories of the future.
