Audience
Large continuous-process plant operators and technical teams interested in a solution to optimize plant control, link strategy to execution and extract value from complex processes
About Imubit
Imubit’s AI platform delivers real-time, closed-loop process optimization for heavy-process industries by combining a dynamic process simulator, reinforcement-learning neural controller, and performance dashboards. The dynamic simulator is trained on years of historical plant data and guided by first principles to build a virtual model of the true process, enabling what-if simulation of variable relationships, constraint changes, and operating strategy shifts. The reinforcement-learning controller, trained offline with millions of trial-and-error scenarios, is then deployed to optimize control variables continuously, maximizing margins while respecting safe-operating constraints. Live dashboards track model availability, engagement, uptime and offer interactive visualizations of bound values, operational limits, and KPI trends. Use cases include aligning economic strategy with real-time operations and detecting process degradation.
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