Closed Loop AI Optimization
Assembly Line
Introducing the Imubit Foundation Process Model™: A New Paradigm in Plant Optimization
Imubit’s Optimizing Brain™ Solution leads the market in Closed Loop AI Optimization, transforming engineers into AI pioneers with its Foundation Process Model™ and reinforcement learning. Similar to how ChatGPT, the pioneering Foundation Model, was trained on vast datasets to power diverse applications, our model integrates extensive process data with engineering expertise. This evergreen asset continuously updates with live process data, offering clients a versatile tool for optimizing operations, training teams, and diagnosing process issues.
Historically, industrial plants relied on local models and logic to address specific, isolated problems. These models ranged from Linear Programming (LP) to first-principle process models, Advanced Process Control (APC) applications, scheduling models, and operator training systems. While each served its purpose, they often required extensive manual input, fine-tuning, and optimization specific to the task at hand.
Now, we are seeing a shift. Much like how foundation models in AI were trained on broad datasets for wide applicability, plants are training deep learning models on large amounts of process data, investing multidisciplinary efforts to create a single model that is applied to a broad set of applications.