There are so many ever-changing variables that it can be hard to model the dynamic relationships in your polymer manufacturing process – from very non-linear dynamics due to the reaction mechanisms, to highly coupled heat and material balances. It’s also difficult to infer material properties and it can be impractical to switch product grades automatically to reduce scrap material. That’s exactly why we built Imubit – the first AI products built for optimizing complex reactive processes such as polymerization.
Our solution – AI products with deep learning technology – helps polymer manufacturing leaders break through these complex optimization challenges. It’s not just any generic AI solution, but next-generation artificial intelligence that understands the intricacies of polymer manufacturing plants.
Risk-free model
No obligation EVALUATION
If you qualify for our evaluation program, you get detailed scoping, modeling, closed-loop commissioning, and 3 months of continuous improvement before any payment decision
No upfront expenses
You pay a fixed annual subscription for an all-inclusive Deep Learning Process Control® solution and service for your application
Measure benefits in months
You can be up and running with your first Deep Learning Process Control® application running in closed loop in just 4 to 6 months
Learn about how Imubit’s Closed Loop Neural Network™ helps polymer leaders discover, engineer and monetize new margin opportunities at your manufacturing plants:
Generalized first-principle economic models
Steady-state baseline models
Performance dashboards
Process modeling platform
Deep learning process models
Dynamic relationships visualization
Pre-optimized truly dynamic controller
Open-loop simulations
Process control network software
Control room application
Customizable dashboards
Remote monitoring
Imubit’s team understands what we’re trying to do from an operating and an economics perspective. Their Closed Loop Neural Network™ technology and their approach have aligned everyone from planning and operations around a shared goal of maximizing production profits.”
-Process control and optimization manager