Calejo Optimize™ is an optimization engine for industrial processes. It’s a new way of modeling and helping the industry to manage, structure, analyze, simulate, optimize and control the overall data and knowledge flows from its processes.
DAE compatible and more scalable than other solutions
Variable time-step solving
Faster optimization than reinforcement learning
Easily deployable in edge devices, cloud and personal computers
Mixed neural network and physical equations in any combination
During a joint workshop on-site with the customer, the functions and data flows of the current process are mapped to obtain consensus around boundaries and what effect goals the use of Calejo Optimize will achieve.
Based on set goals, Calejo’s representatives then announce the conditions required in terms of the amount of existing data, the handling of real-time data and the configuration of the control system.
The industry is in the driver's seat The customer determines the degree of commitment. It is the customers who is the experts in their own process. We discuss together the best solution and what is feasible based on the conditions that exist.
What Calejo needs is input from the customer about how the process works and also help with collecting data. If the customer does not have their own knowledge or can provide their own resources, Calejo can help with guiding, or contribute with resources from one of Calejo’s many partner companies.
We adapt to the customers technical conditions We can install our solution with aggregated data from the process locally inside the facility or in private or public clouds. We can also – if necessary – with help from our partners create appropriate systems and cloud solutions to collect and store all information.
When it comes to control systems, we are not dependent on any special ones. Calejo delivers an overall control system and we already cooperates or can cooperate with most control systems on the market.
We are happy to AI train operators and management The customer does not need any AI skills. However, together with our partners, we are happy to assist and train operators and management to ensure that employees have a better understanding of the possibilities of technology and increase their own and the company’s overall AI maturity.
Implementation takes place in the following stages:
Data verification based on measuring points, quality and quantity.
Modeling a digital twin over the process.
Training the digital twin.
Verification of the digital twin against the actual process.
Priorities and rules for optimization are developed. Calejo Optimize can optimize processes based on more than one effect target. A mutual priority between the goals must thus be created. Other process critical boundaries and rules must also be defined. The system is optimized on the basis of given conditions.
Together with selected operators, the interface between Calejo Optimize and the operators is adapted so that the instructions’ designations and nomenclature correspond with the other operator environment.
Operator support is being rigorously tested by Calejo’s staff to verify the implementation.
Training of operators and others concerned with the use of Calejo Optimize.
Commissioning of Calejo Optimize.