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Intelecy Brings Industrial AI to Claude, ChatGPT, and Microsoft Copilot
Oslo, Norway Intelecy, named by ARC Advisory Group as one of seven leading companies worldwide defining the new software category of Closed-loop AI Optimization, today announced support for Claude, ChatGPT, and Microsoft Copilot. Enabled by Model Context Protocol (MCP), process engineers can now query live factory data, investigate anomalies, and optimize process performance directly from the AI assistant they already use every day. Generative AI assistants are powerful. But on their own, they do not understand the context of a specific processing plant. The Intelecy MCP Server changes that by connecting the AI assistant to Intelecy's industrial AI platform, giving it access to live sensor data, asset hierarchies, validated machine learning models, and process history. From the AI assistant, engineers can ask questions, create dashboards, and generate new AI models that support anomaly detection and process optimization. The AI assistant becomes the interface. Intelecy provides the industrial intelligence behind it. The MCP Server is already in use by several early-adopter customers. GC Rieber VivoMega and Veas are among the first process companies to connect their operations through the new capability, with engineers querying live plant data and building models directly from their preferred AI assistant. "By connecting Claude, Intelecy, and Veas' process data, we get a new way of querying our data, exploring relationships, and building insight across disciplines faster. I believe it can contribute to better decision support, faster development processes, and a deeper understanding of how the plant actually responds in operation. Over time, we expect this to deliver concrete improvements in chemical use, energy, biogas production, and operator time, while strengthening the organisation's ability to learn from its own data." — Hilde Johansen, Development Engineer, Veas The AI assistant becomes the conversational interface. Intelecy provides the industrial intelligence behind it: live process data, asset context, process history, and the insights and recommendations from validated Industrial AI models. Combined with other available sources, such as internal documents, work orders, ERP data, and procedures, that intelligence helps engineers understand plant issues faster and turn them into new AI models in Intelecy for monitoring, prediction, and optimization. "The promise of generative AI in industry is that engineers can simply ask a question and get a useful answer. However, that only works if the assistant has access to real industrial intelligence. Intelecy connects live process data, industrial AI models, and process knowledge so engineers move from observation to action and process optimization faster." — Camilla Gjetvik, CEO, Intelecy For process industries, this can mean earlier warning of quality deviations, reduced energy waste, improved yield, and faster access to the operational context engineers need to make informed decisions. By turning operational data and industrial AI into a conversational workflow, Intelecy helps teams act faster on the issues that most directly affect uptime, efficiency, safety, and production performance. Support covers Claude, ChatGPT, and Microsoft Copilot, with the MCP-based approach designed to support emerging agentic AI experiences as enterprise platforms evolve. The Intelecy MCP Server is available now. Read more here. Companies interested in seeing the capability in action can book a personalized demo with the Intelecy team.