Optimize site wide production, energy efficiency and increase margins

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

Cordantâ„¢ 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
🡑 1-2%
production increase
🡓 5-10%
reduction in specific energy consumption


Next generation AI-based process optimization

Non-linear dynamic ML Models
Model Accuracy
Unify and Scale
Image
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

Image
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.

Image
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. 


Mettetevi in contatto con un esperto.

La vostra richiesta è stata inoltrata.
Grazie per l'interesse dimostrato. Uno specialista vi contatterà a breve.