Operate and monitor AI in production

Nothing less than full operator controllability should be accepted, and that’s exactly what we’ve built.
Closed Loop Neural Network™ technology operating software

As your deep learning process controller is commissioned in closed-loop, your process engineers and operators use the Operations Center to adjust and monitor your controller as it runs and improves over time. Dashboards show the current and projected adjustments the controller makes across units. Operators can update constraints as they manage day-to-day changes and abnormal operations.

Control room application

The Operations Center user interface gives operators the ability to directly update controller constraints and move limits, while engineers can update constraint operator ranges and control priorities.

Customizable dashboards

Intuitively customizable chart and matrix views make it easy for operators to understand controller status, projected moves, and prediction trajectories. Multi-unit control room dashboards show data across all controllers and processes in one place.

Remote monitoring

Our cyber-secure proprietary remote monitoring technology enables those not in the control room to run safe cloud-based simulations and analyses on your production data. No data is ever transmitted into your control network.

Acceptance and utilization of Imubit’s technology has grown. Console operators appreciate being able to monitor the real-time adjustments and move plans.”

– Process control 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.

Ready to learn more about the Imubit Closed Loop Neural Network™?
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