Operations Studio
Make Coordinated Execution the Default.
Operations Studio is a production-grade AI platform for nonlinear industrial process modeling and coordinated optimization.
- Build dynamic nonlinear models that learn from plant data
- Evaluate operating decisions under real constraints
- Monitor performance continuously
- Deploy supervised automation when ready
Designed to complement existing APC and control systems, not replace them.
Explore Operations Studio Using Your Plant Data
Core Technology
Powered by Deep Learning Process Control® (DLPC)
Operations Studio is built on Imubit's Deep Learning Process Control® (DLPC) technology, a patented approach to nonlinear industrial process modeling and optimization.
DLPC learns dynamic relationships directly from plant data, enabling engineers to understand how operational handles influence outcomes under changing process conditions.
Operations Studio provides the engineering environment for applying DLPC models — allowing teams to evaluate decisions, monitor performance, and deploy supervised automation within existing control systems.
How Operations Studio Supports Coordinated Execution.
Operations Studio helps engineers evaluate operating decisions and sustain performance under real plant constraints. It supports this workflow through three phases.
Phase 1
Map and Define Your Strategy
Coordinated Operating Strategies (COS) begins by making plant decision logic explicit.
Operations Studio allows teams to map strategies across the plant, creating a shared system of record for operational coordination.
Engineers define the relationships between:
▸ Operational handles
▸ Measured outcomes
▸ Constraints and limits
▸ Strategic objectives
By capturing strategies in a consistent framework, siloed teams can visualize how decisions propagate across the organization and where operational tradeoffs appear.
Phase 2
Augment Execution with Nonlinear Modeling
Once strategies are defined, Operations Studio augments engineering decision-making through data-driven modeling.
The system uses historical plant data to build nonlinear dynamic models that represent how operational handles influence outcomes under real constraints.
Engineers select:
▸ Control handles
▸ Measured outcomes
▸ Operational constraints
Open Loop Execution
In open loop, engineers use model insights to guide daily decisions. Teams can:
▸ Compare predicted versus observed plant behavior
▸ Evaluate model performance under disturbance
▸ Adjust constraints and assumptions as operating conditions evolve
Models are versioned and retrainable, allowing engineers to iterate quickly. Unlike static regression or fixed models, these relationships are not assumed constant — process influence evolves as conditions change.
Phase 3
Automate Coordinated Execution
When models are validated in operation, Operations Studio enables supervised closed-loop optimization.
The system uses the same nonlinear models and constraint definitions established in open loop, extending validated strategies into automated execution.
Key characteristics include:
▸ On-premise deployment within plant networks
▸ Native integration with DCS and APC control environments
▸ Explicit constraint enforcement
▸ Operator supervision and control authority
▸ Scoped automation across selected handles or units
Automation extends the same engineering workflow used during modeling and evaluation. Validated strategies can move into execution without changing tools or architecture.
Built for Production Control Environments
Operations Studio is designed for deployment inside operating plants and built for industrial reliability.
Experience gained from production closed-loop deployments informs the design of every layer of the system, ensuring stability, controllability, and safe integration with plant operations.
Secure on-premise deployment
Model and data governance
Native historian and API integration
Version control and auditability
Cross-asset performance visibility
Platform
Inside Operations Studio
Operations Studio includes a set of modular applications, built on the Imubit Core Platform. Together, these applications support the full lifecycle of coordinated execution — from strategy definition to sustained operational performance.
DLPC Builder
Develop and retrain nonlinear dynamic models
DLPC Explorer
Analyze gain relationships and evaluate operating tradeoffs
DLPC Simulation
Test operating scenarios prior to deployment
DLPC Performance Dashboards
Monitor model accuracy and plant performance
DLPC On Prem
Enable supervised, constraint-aware automation when activated
See First-hand Where Operational Excellence is Hitting a Barrier at Your Plant Today
And identify how to unlock real opportunities for improvement through coordinated operating strategy execution with this assessment.