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

Our modeling platform lets you integrate chemical engineering decisions, historical and continuous process data analysis to train your deep learning process control prediction models.

Deep learning process models

High-dimensional deep learning neural networks capture the hidden governing dynamics between variables in all process states and model the relationships between feed properties, key process variables, operational constraints, and economic objectives.

Dynamic relationships visualization

Monte Carlo simulations on the trained models generate visualizations of the learnt relationships between process model variables as well as model prediction errors, so your process engineers can see and understand how the model works.

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
Tier-1 refinery

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.

Hydrocarbon processing expertise

Our solution is built on over 220 years planning and economics, process engineering, process control engineering and operations at refining and chemical plants.

Closed-loop optimization

We go beyond open-loop data-driven insights, predictions, and recommendations. Our solution integrates to your plant and optimizes your process in closed-loop.

Novel machine learning

We have developed fundamentally new scientific capabilities which did not exist before in academia or industry. We have field-proven our technology over years of work with leading refiners and operators.
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