Imubit

Learning Objectives

• Understand what Imubit does and the idea of closed-loop AI optimization
• Evaluate how deep learning and reinforcement learning optimize a process unit
• Assess where Imubit fits among process-control technologies

What Is Imubit?

Imubit is an American industrial-AI company that pioneered closed-loop AI optimization for refineries and chemical plants. Most plant analytics tools stop at advice — they tell an engineer what to change, and a human decides whether to act. Imubit goes further: its platform, the Optimizing Brain, learns a model of an entire process unit and then controls it directly, writing optimized setpoints back to the plant's control system in a continuous loop.

The approach earned its own category from industry analysts: Closed Loop AI Optimization. The distinction matters because the value of optimization compounds when it runs continuously and automatically, rather than depending on an operator to notice and act on each recommendation.

How AI Changes the Workflow

Imubit builds what it calls a Foundation Process Model — a deep neural network trained on a plant's historical operating data to capture how the unit actually behaves, including the complex, nonlinear interactions that first-principles models struggle with. Reinforcement learning then searches for the operating strategy that maximizes an objective — yield, energy efficiency, or throughput — while respecting the plant's constraints. The result runs in closed loop, continuously nudging the unit toward its best achievable operating point.

For engineers, this shifts the work from manually chasing optimization opportunities toward defining objectives and constraints, validating the model, and supervising its performance. Imubit reports deployment across many of the largest refiners in the United States, along with customers in chemicals and cement.

Who Uses Imubit?

Imubit targets refineries and chemical and process plants where units are complex, continuously operated, and energy-intensive — exactly the conditions where small, sustained improvements in control translate into large financial gains. Its customers are typically large processing operators looking to push optimization beyond what conventional advanced process control delivers.

Company Details

Strengths

• True closed loop — acts on every opportunity automatically, not just advising
• Learns real behavior — a deep model captures nonlinear interactions first-principles models miss
• Continuous optimization — compounds value by running around the clock
• AI-native — built around deep learning and reinforcement learning, not bolted on
• Proven in refining — adopted across many of the largest US refiners

Limitations and Considerations

• Data-dependent — needs substantial historical operating data to train an accurate model
• Safety-critical — closed-loop control requires rigorous constraints and validation
• Best for complex units — value is highest on energy-intensive, continuously run processes
• Enterprise engagement — sold as a platform plus services, with custom pricing

Pricing

Imubit is enterprise software delivered with implementation services, priced per engagement based on the units optimized and the scope of deployment. There is no public list pricing. Contact Imubit for details.

Key Takeaways

• Imubit pioneered closed-loop AI optimization for refineries and chemical plants
• Its Optimizing Brain builds a deep-learning model of a process unit and uses reinforcement learning to control it directly
• Running in a true closed loop, it captures far more benefit than advice-only tools by acting continuously and automatically
• It is a leading AI-native name on the process-control side, adopted across many of the largest US refiners