Imubit: Industrial AI Optimization Software
Imubit helps process engineers and operations teams coordinate plant decisions across units and constraints. It is designed for companies in refining and chemicals seeking to support yield and energy consumption goals.
At a glance
- Category
- Operations
- Best for
- Process engineers, Advanced Process Control (APC) engineers, Operations managers in heavy industry, Refinery and petrochemical plant leaders
- Pricing
- Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
- Key use cases
- Coordinating Operating Strategies, Reducing Energy Consumption, Supporting Product Yield, Operator Training and Onboarding
- Integrations
- DCS integration, APC integration, Historian integration
- Official website
- imubit.com
Imubit is an industrial AI platform designed for process industries, such as oil, gas, and chemicals, that manage complex nonlinear operations. It uses Deep Learning Process Control (DLPC) technology to build dynamic models from plant data, which helps teams evaluate operating decisions while considering real-world constraints.
The software is built for process engineers, APC engineers, and operations managers. It is designed to complement existing APC and control systems rather than replace them, providing a framework for mapping strategies and monitoring performance before moving toward supervised automation.
For buyers, the platform is focused on coordinating decisions across different roles and units. It supports a phased transition from manual, reactive decision-making to augmented and eventually automated execution.
Buyers should confirm if their current DCS and APC environments are compatible and review on-premise deployment requirements for their specific plant network.
Key Features
Builds models from plant data using Deep Learning Process Control to analyze how operational handles influence outcomes.
Helps engineers test and compare operational choices and tradeoffs under real plant constraints.
Includes dashboards to monitor model accuracy and plant performance.
Supports the transition of validated models into closed-loop optimization with operator supervision.
Designed to integrate with existing Distributed Control Systems and APC environments.
Use Cases
Mapping decision logic across roles and units to align decisions with plant objectives.
Identifying relationships between operating strategies and energy use to help reduce natural gas consumption.
Using AI models to identify opportunities to increase yield across various product grades.
Using open-loop models as a training environment for engineers to learn unit behavior.
Best For
Integrations
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
FAQ
Imubit is an AI platform that helps industrial plants implement Coordinated Operating Strategies by building dynamic nonlinear models to optimize operations.
No, it is designed to complement existing APC and DCS control systems, not replace them.
It is designed for process industries including oil and gas refining, chemicals, petrochemicals, cement, and mining.
The platform supports secure on-premise deployment within plant networks.
Source category: Operations
Source subcategory: Industrial AI
