Through the use of various advanced analytics techniques such as linear / polynomial regression, machine learning and neural networks,  we help our customers to identify sub optimal plant control and develop new control algorithms using a variety of physical and artificial intelligence models.

We have a proven track record in chemical and metallurgical process control improvement.

 

Benefits:

• Optimisation is done with nett profit in mind,

• Does not require the installation or integration of any additional hardware, Artificial intelligence will be used to estimate process variables that might not exist