AI TOOL PROFILE
Imubit: Industrial AI Optimization Software
- Operations
- Industrial AI
- 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.
At a glance
- Best for
- Process engineers, Advanced Process Control (APC) engineers, Operations managers in heavy industry, Refinery and petrochemical plant leaders
- 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
- Visit Imubit official website
How AI is used
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
Dynamic Nonlinear Modeling
Builds models from plant data using Deep Learning Process Control to analyze how operational handles influence outcomes.
Operating Decision Evaluation
Helps engineers test and compare operational choices and tradeoffs under real plant constraints.
Continuous Performance Monitoring
Includes dashboards to monitor model accuracy and plant performance.
Supervised Automation Deployment
Supports the transition of validated models into closed-loop optimization with operator supervision.
Native DCS Integration
Designed to integrate with existing Distributed Control Systems and APC environments.
Use Cases
Coordinating Operating Strategies
Mapping decision logic across roles and units to align decisions with plant objectives.
Reducing Energy Consumption
Identifying relationships between operating strategies and energy use to help reduce natural gas consumption.
Supporting Product Yield
Using AI models to identify opportunities to increase yield across various product grades.
Operator Training and Onboarding
Using open-loop models as a training environment for engineers to learn unit behavior.
Integrations
- DCS integration
- APC integration
- Historian integration
FAQ
What is Imubit's primary purpose?
- Imubit is an AI platform that helps industrial plants implement Coordinated Operating Strategies by building dynamic nonlinear models to optimize operations.
Does Imubit replace existing control systems?
- No, it is designed to complement existing APC and DCS control systems, not replace them.
Which industries can use Imubit?
- It is designed for process industries including oil and gas refining, chemicals, petrochemicals, cement, and mining.
How is the software deployed?
- The platform supports secure on-premise deployment within plant networks.
Source category: Operations
Source subcategory: Industrial AI
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