Optimize site wide production, energy efficiency and increase margins

Innovation that combines domain expertise, AI and optimization to model complex processes and maximize margins

Cordant Process Optimization leverages a unique combination of data-driven process modeling, AI and advanced optimization techniques to continuously improve production rate, yield, energy efficiency, and overall operating margins for a wide variety of industrial processes. It provides real-time setpoints that empower operators to run the plant at its true potential.



Model, simulate and optimize in real-time for production and efficiency gains

Optimize production processes in real-time

Configurable process modeling and optimization framework

Develop non-linear process models leveraging pre-built templates to model complex processes. Rapidly deploy models in production and generate setpoints in real-time to optimize and predict gap-to-potential while ensuring that all process constraints are met.

scenario modeling

Comprehensive scenario analyses and simulations

Enable what-if scenario analysis by leveraging a user configurable optimization and simulation environment. The application provides an intuitive user interface for process and optimization engineers to run on-demand scenarios with different constraints, parameter values, and economics to simulate process and pricing changes.

Analysis

Integrated data processing, model management, and ML Ops

Real-time data processing, management and alignment provides a robust backbone for all modeling and optimization tasks. Further, the cloud platform capabilities, model management, and ML Ops allow for end-to-end model performance monitoring, tracking and management in production deployment.



Driving more value from your operations
đŸ¡‘ 1-2%
production increase
đŸ¡“ 5-10%
reduction in specific energy consumption


Next generation AI-based process optimization

Non-linear dynamic ML Models
Model Accuracy
Unify and Scale
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Codify domain expertise
Codify domain expertise
Non-linear dynamic ML Models

Actionable insights over traditional technologies

Proprietary and dynamic, non-linear Machine Learning models combined with domain expertise enable more intelligent plant operations

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Operator-centric view
Operator-centric view
Model Accuracy

Improve model accuracy and reduce maintenance costs

Models adapt automatically to changing plant performance overtime, such as equipment degradation, catalyst  performance etc.

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Unify and Scale
Unify and Scale
Unify and Scale

Streamline data integration

Increase team efficiency using Cordantâ„¢, a common, integrated suite of solutions that streamline process optimization and asset performance management. 


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