Unlock new value

Discover, engineer and monetize new process optimization opportunities considered impossible – until now.
A new approach to process optimization

The Imubit Closed Loop Neural Network™ is an AI process optimization technology that Enables plant managers to discover, engineer and monetize process optimization opportunities considered impossible until now.

Economic Engineering

Explore the highest incentive optimization opportunities and align planning and economics, process control, process engineering, and operations around a common strategy.

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Neural Prediction Models

Build, verify and continuously improve your  models to represent complex processes by leveraging your process experts and your process data.

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Deep Learning Process Control®

Design and simulate your deep learning process controller against historical process scenarios. Integrate your controller into your process control system and continuously improve it as it runs on your plant.

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Operations Center

Operate and monitor your deep learning process controller in the control room with an intuitive move plan and prediction display, tune constraints and priorities.

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We make more money on days we run Imubit than days we don’t. We now have 24×7 optimized units.”

– Short term planning engineer

An interconnecting neural network aligns all teams and stakeholders

lmubit is built for hydrocarbon processors who are looking for new ways to unlock margin from their assets. Unlike AI solutions that are bolted onto your existing methodologies, procedures and technologies, Imubit’s Closed Loop Neural Network™ crosses process unit and plant area boundaries. It flows through the traditional layers and interconnects all of the various teams. This allows everyone to speak the same language and drive towards a common economic goal. It manipulates carefully selected key variables by interconnecting real-time product prices with process constraints and economically critical properties. Instead of each team managing its own model in a discrete stack layer, all of the various disciplines interface with the Closed Loop Neural Network™.  

Planning and economics feed direct real-time product and feedstock prices directly into the neural network. Process engineers input true unit operational constraints along with known process relationships. Process control engineers manage the interaction between the neural network and the existing advanced process control (APC) and distributed control system (DCS). Operators interact with the neural network on a 24/7 basis, constraining it to their desired bounds and limits in real time to allow for a safe and compliant closed-loop operation.

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.

Deep reinforcement learning

Our interconnected AI solution is built on a deep reinforced learning architecture that uses your minute-by-minute data for real-time process optimization.

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