Closed-Loop Physical AI

Map, Model and Control your Gaps to Plan.

Industrial plants are challenged with ongoing gaps between plan and plant, across safety, reliability, margin, compliance, and competency.

Imubit is a Closed-Loop Physical AI platform that maps your plant’s gaps to recurring operating decisions, taking them all the way to autonomous execution through learning process models.

100+
Closed-Loop Applications
7+
Years of Model Engagement
15-30%
Reduced Natural Gas Usage
$0.25/bbl
Margin
Improvement
1-3%
Average Yield Improvement
Trusted by

Customer Stories

"With Imubit, not only do I see economics and planning’s pricing and logistics, but also they see the way that I’m operating the unit. So we can collaborate together and run the whole system better."

Company Logo - Technology Webflow Template
Justin Penninger
Console Operator – Citgo

About 50-60% of our senior control room operators are going to retire in the next couple of years. It’s huge for us to be able to actually train them on something in open loop and let them play around and make mistakes and learn.

Bryan Cook
Senior Corporate Automation Engineer –
Ash Grove Cement Company

When you have 30-year employees leaving the company, you’re left with new employees that don’t have this long history. We really looked to Imubit to fill that gap and allow new employees to be just as effective.

Oxbow logo
Kris Kissel-Weir
Vice President, Manufacturing Systems Data Analytics – Oxbow

We’re a single site refinery competing in a very transparent hydrocarbon market. One of the easiest ways for us to compete with the big players in that market is to take advantage of new technology.

Regan Howell
Chief Operating Officer – Monroe Energy LLC

The success that we had dollar to barrel was great. But what it did for us in the operations group, for the operators to be able to think outside of their norm, outside of their comfort zone, was huge.

Bobby Hammer
Operations Supervisor – Big West Oil

Working with Imubit allows us to leverage cutting-edge AI to optimize our renewable processes while minimizing our carbon footprint.

Erika Wikström
SVP of Technology – Preem

Map

Plan-to-plant gaps traced to recurring decisions

  • The plan and its intent analyzed across every source; gaps ranked by impact and recurrence.
  • Recurring decisions and disturbances tied to measured outcomes, from process data and plant configuration.
  • All teams aligned on one mapping: objectives and constraints → decisions, disturbances, outcomes.

Model

The cause and effect behind each mapping

  • Nonlinear, dynamic AI process models built on your historical data, guided by first principles, with full visibility into the learned relationships.
  • Deterministic causality, not correlation, linking decisions, disturbances, and outcomes.
  • Trained by your own engineers, compounding your competitive advantage.

Control

Key decisions executed autonomously, gaps closed

  • AI controllers learn to steer decisions to maximize objectives within constraints.
  • Reinforcement learning across all process regimes — captured in a deterministic controller your engineers can certify and your operators trust.
  • Closed gaps measured continuously against the plan; models retrained as the plant changes.

Customer Stories

"With Imubit, not only do I see economics and planning’s pricing and logistics, but also they see the way that I’m operating the unit. So we can collaborate together and run the whole system better."

Company Logo - Technology Webflow Template
Justin Penninger
Console Operator – Citgo

About 50-60% of our senior control room operators are going to retire in the next couple of years. It’s huge for us to be able to actually train them on something in open loop and let them play around and make mistakes and learn.

Bryan Cook
Senior Corporate Automation Engineer –
Ash Grove Cement Company

When you have 30-year employees leaving the company, you’re left with new employees that don’t have this long history. We really looked to Imubit to fill that gap and allow new employees to be just as effective.

Oxbow logo
Kris Kissel-Weir
Vice President, Manufacturing Systems Data Analytics – Oxbow

We’re a single site refinery competing in a very transparent hydrocarbon market. One of the easiest ways for us to compete with the big players in that market is to take advantage of new technology.

Regan Howell
Chief Operating Officer – Monroe Energy LLC

The success that we had dollar to barrel was great. But what it did for us in the operations group, for the operators to be able to think outside of their norm, outside of their comfort zone, was huge.

Bobby Hammer
Operations Supervisor – Big West Oil

Working with Imubit allows us to leverage cutting-edge AI to optimize our renewable processes while minimizing our carbon footprint.

Erika Wikström
SVP of Technology – Preem