PLANT PROCESS MODELS
Nonlinear dynamic models
Only deep learning models can represent and ultimately predict, control and optimize the most complex processes at your plant
Dynamic plant process models and visualizations
We use our proprietary process modeling platform to build, verify and continuously improve your deep learning process models that run closed-loop in production. Working alongside your process engineers we identify the hidden governing dynamics between variables and refine, validate and build operator confidence in the models.
Process modeling platform
Deep learning process models
Dynamic relationships visualization
Imubit has completely transformed what I thought was possible in process control and optimization. Deep learning process control can truly understand and optimize the non-linear, highly dynamic relationships found in complex processes. Being able to predict and control these behaviors is going to forever change the process industry.”
– Process control team lead
A step-change in plant optimization requires purpose-built AI in the hands of the industry experts
Imubit is built for hydrocarbon processors who are looking for new solutions to unlock margin from their assets. Tens of millions in new margin at a plant will not come from rehashed versions of decades-old technology, nor will it come from generic AI without deep chemical engineering knowledge. We focus our AI process optimization only on hydrocarbon processing, integrating world-class AI scientists and researchers, and world-class hydrocarbon processing experts. This helps you unlock new margins by optimizing your most complicated (and profitable) processes.